Good Contents Are Everywhere, But Here, We Deliver The Best of The Best.Please Hold on!
Your address will show here +12 34 56 78

Introduction

In this post, AYLIEN NLP Research Intern, Mahdi, talks us through a quick experiment he performed on the back of reading an interesting paper on evolution strategies, by Tim Salimans, Jonathan Ho, Xi Chen and Ilya Sutskever.

Having recently read Evolution Strategies as a Scalable Alternative to Reinforcement Learning, Mahdi wanted to run an experiment of his own using Evolution Strategies. Flappy Bird has always been among Mahdi’s favorites when it comes to game experiments. A simple yet challenging game, he decided to put theory into practice.

Training Process

The model is trained using Evolution Strategies, which in simple terms works like this:

  1. Create a random, initial brain for the bird (this is the neural network, with 300 neurons in our case)
  2. At every epoch, create a batch of modifications to the bird’s brain (also called “mutations”)
  3. Play the game using each modified brain and calculate the final reward
  4. Update the brain by pushing it towards the mutated brains, proportionate to their relative success in the batch (the more reward a brain has been able to collect during a game, the more it contributes to the update)
  5. Repeat steps 2-4 until a local maximum for rewards is reached.

At the beginning of training, the bird usually either drops too low or jumps too high and hits one of the boundary walls, therefore losing immediately with a score of zero. In order to avoid scores of zero in training, which would means there won’t be a measure of success among brains, Mahdi set a small 0.1 score for every frame the bird stays alive. This way the bird learns to avoid dying at the first attempt. He then set a score of 10 for passing each wall, so the bird tries not only to stay alive, but to pass as many walls as possible.

The training process is quite fast as there is no need for backpropagation, and it is also not very costly in terms of memory as there is no need to record actions, as it is in policy gradients.

The model learns to play pretty well after 3000 epochs, however it is not completely flawless and it rarely loses in difficult cases, such as when there is a high difference between two wall entrances.

Here is a demonstration of the model after 3000 epochs

(~5 minutes on an Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz):


Use the controls to set speed level or to restart

Web version

For ease of access, Mahdi has created a web version of the experiment which can be accessed here.

Try it yourself

Note: You need python3 and pip for installing and running the code.

First, download or clone the repository:

git clone https://github.com/mdibaiee/flappy-es.git


Next, install dependencies (you may want to create a virtualenv):

pip install -r requirements

The pretrained parameters are in a file named load.npy and will be loaded when you run train.py or demo.py

train.py will train the model, saving the parameters to saves/<TIMESTAMP>/save-<ITERATION>.

demo.py shows the game in a GTK window so you can see how the AI actually plays.


play.py if you feel like playing the game yourself, space: jump, once lost, press enter to play again.

Notes

It seems that training past a maximum point leads to a reduction in performance. Learning rate decay might help with this. Mahdi’s interpretation is that after finding a local maximum for accumulated reward and being able to receive high rewards, the updates become pretty large and will pull the model too much to different sides, thus the model will enter a state of oscillation.

To try it yourself, there is a long.npy file, rename it to load.npy (backup load.npy before doing so) and run demo.py, you will see the bird failing more often than not. long.py was trained for only 100 more epochs than load.npy.

0

Introduction

Welcome to the second installment in our series of monthly posts where we’ll be showcasing our News API by looking back at online news stories, articles and blog posts to uncover emerging insights and trends from topical categories.

For our February review, we looked at three IAB categories: Arts & Entertainment, Science and Politics.

For March, we’ve decided to narrow our focus a little further by looking at IAB subcategories to give you an idea of just how specific and granular you can be when sourcing and analyzing content through the News API. With this in mind, we’ve gone with the following three subcategories:

  1. Cell phones (subcategory of Tech & Computing)
  2. Boxing (subcategory of Sports)
  3. Stocks (subcategory of Personal FInance)

and for each subcategory we have performed the following analysis;

  • Publication volumes over time
  • Top stories
  • Most mentioned topics
  • Most shared stories on social media

Try it yourself

We’ve included code snippets for each of the analyses above so you can follow along or modify to create your own search queries.

If you haven’t already signed up to our News API you can do so here with a free 14 day News API trial.

1. Cell phones

The graph below shows publication volumes in the Cell phones subcategory throughout the month of March 2017.

Note: All visualizations are interactive. SImply hover your cursor over each to explore the various data points and information.

Volume of stories published: Cell phones

From the graph above we can see a number of spikes indicating sharp rises in publication volumes. Let’s take a look at the top 3;

Top stories

The three stories that contributed to the biggest spikes in news publication volumes;

  1. Samsung release their latest flagship phone, the Galaxy S8.
  2. The UK introduces a loss-of-license punishment for new drivers caught using their cell phones while driving.
  3. HTC reveal a limited edition version of their U Ultra smart phone.

It will perhaps come as no surprise to see one of the world’s top smartphone manufacturers, Samsung, getting the most media attention with the launch of their latest flagship model. In comparison, rivals HTC failed to generate the same level of hype around their latest model. However, by releasing a teaser about a surprise product release on March 15 they still managed to generate two of the top four publication volume spikes within the cell phone category in March.

Try it yourself – here’s the query we used for volume by category

Read more: We looked at Samsung’s recent exploding battery crisis to highlight how news content can be analyzed to track the voice of the customer in relation to crisis prevention and damage limitation.

Most mentioned topics

From the 7,000+ articles we sourced from the Cell phones category in March we looked at the most mentioned topics;

Try it yourself – here’s the query we used for most mentioned topics

Most shared on social media

What were the most shared stories on social media? We analyzed share counts from Facebook, LinkedIn and Reddit to see what type of content is performing best on each channel.

Facebook

  1. Man dies charging iPhone while in the bath (BBC. 26,072 shares)
  2. US bans electronic devices on flights from eight Muslim countries (The Independent. 25,886 shares)

Linkedin

  1. Samsung tries to reclaim its reputation with the Galaxy S8 (Washington Post. 890 shares)
  2. It’s Possible to Hack a Phone With Sound Waves, Researchers Show (NY Times. 814 shares)

Reddit

  1. Samsung confirms the Note 7 is coming back as a refurbished device (The Verge. 7,193 votes)
  2. The Galaxy S8 will be Samsung’s biggest test ever (The Verge. 4,981 votes)

Try it yourself – here’s the query we used for social shares

2. Boxing

We sourced a total of 9,000+ articles categorized under Boxing and found that what goes on outside the ring can garner just as much (if not more) media interest than what happens in it.

Volume of stories published: Boxing

Top stories

The three stories that contributed to the biggest spikes in news publication volumes;

  1. Heavyweight bout between David Haye and Tony Bellew.
  2. Floyd Mayweather urges the UFC to allow him and Conor McGregor to fight.
  3. Middleweight bout between Gennady Golovkin and Daniel Jacobs.

The two biggest fights in world boxing during the month of March are clearly represented by publication spikes in the chart above, particularly the heavyweight clash between Haye and Bellew. However, and as we mentioned, it’s not all about what happens in the ring.

The second largest spike we see above was the result of Floyd Mayweather, who hasn’t fought since September 2015, pleading with the UFC to allow a ‘superfight’ with Conor McGregor to go ahead. Neither Mayweather or McGregor have competed recently, nor have they any future fights scheduled, yet they still find themselves as the two most discussed individuals in this category. The bubble chart below showing the most mentioned topics from the boxing category further highlights this.

Most mentioned topics

Most shared on social media

Facebook

  1. Floyd Mayweather ‘officially out of retirement for Conor McGregor’ fight (FOX Sports. 56,951 shares)
  2. Bad refs, greedy NBF officials frustrating boxers – Apochi (Punchng. 42,367 shares)

Linkedin

  1. David Haye has Achilles surgery after Tony Bellew defeat (BBC. 234 shares)
  2. David Haye rules out retirement as he targets Tony Bellew rematch (BBC. 130 shares)

Reddit

  1. Teenage kickboxer dies after Leeds title fight (BBC. 1,502 shares)
  2. Muhammad Ali family vows to fight Trump’s ‘Muslim ban’ after airport detention (The Independent. 1,147 shares)

3. Stocks

The graph below shows publication volumes in the Stocks subcategory throughout the month of March 2017. In total we collected just over 30,000 articles.

Volume of stories published: Stocks

Top stories

The three stories that contributed to the biggest spikes in news publication volumes;

  1. Retailer Target sees stock drop by 13.5% after consumers boycott their pro-transgender stance.
  2. The US Federal Reserve increases interest rates, adding further pressure to housing market.
  3. Oil drops below US$53 as report shows rising US crude stockpiles

Most mentioned locations

Rather than focusing solely on extracted topics for this category, we thought it would be interesting to separate mentions of both locations and organizations. The chart above shows the most mentioned locations from all 30,000 articles published under the Stocks subcategory in March:

Most mentioned organizations

The chart above shows the top mentioned organizations including well known banks, investment firms and sources. It is interesting to see the likes of Facebook, Twitter and Snapchat in the mix also.

In March we saw Barclays declare Facebook as “the stock to town for the golden age of mobile”, referring to the upcoming 3-5 year period. Earlier in the month, Snapchat closed their first day of public trading up 44% at $24.48 a share.

Most shared on social media

Facebook

  1. Trump’s Approval Rating Hits New Record Low (Slate. 39,582 shares)
  2. Target Retailer Hits $15 Billion Loss Since Pro-Transgender Announcement (Breitbart. 30,107 shares)

Linkedin

  1. How on earth did India come up with these GDP numbers? (QZ. 2,579 shares)
  2. Home Prices in 20 U.S. Cities Rise at Fastest Pace Since 2014 (Bloomberg. 1,601 shares)

Reddit

  1. Bernie Sanders and Planned Parenthood are the most popular things in America, Fox News finds (The Week. 28,075 votes)
  2. GameStop Is Going to Close at Least 150 Stores (Fortune. 4,982 votes)

Conclusion

We hope that this post has given you an idea of the kind of in-depth and precise analyses that our News API users are performing to source and analyze specific news content that is of interest to them.

Ready to try the News API for yourself? Simply click the image below to sign up for a 14-day free trial.





News API - Sign up




0

Introduction

The landscape of data is ever-changing, meaning analysts need to evolve both their thinking and data collection methods to stay ahead of the curve. In many cases, data that might have been considered unique, uncommon or unattainably expensive just a few years ago is now widely used and often very affordable. It is the analysts who take advantage of these untapped data sources, while they remain untapped, who can reap the rewards by gaining a competitive advantage before the rest of their industry or peers catch on.

This type of data is often referred to as alternative data, and with the ever-increasing levels of data available in the modern world comes the opportunity to gain unique insights, competitive industry advantage, and boosted profits. It is perhaps no surprise then to hear that the scramble to get hold of such data has been dubbed the new gold rush.

With so many of our customers here at AYLIEN using our Text Analysis and News APIs to source and analyze alternative data in the form of unstructured content, we thought we would take a look at this trend to give you an idea of how and why it is becoming so popular and important.

What is alternative data?

Alternative data can be described as data that has been derived from non-traditional sources. Data that can be used to complement traditional data sources to produce improved analytical insights that would otherwise not have been achievable with traditional data alone.

Put simply, it’s data that isn’t commonly being used within a specific industry or use case, but can potentially be used to gain a competitive advantage over those that do not have access to it.

Let’s look at investors as an example. Ask any investor what data source they could not do without and they’ll most likely say it’s their Bloomberg terminal, or a similar device. Bloomberg’s data services enable investors to easily scan financial data that has been generated by thousands of companies. The ubiquity of terminals such as Bloomberg’s means that every investor requires one to be successful. However, it therefore also makes it difficult for investors to gain any sort of competitive advantage, seeing as they’re all receiving the same data, at the same time.

So, how is alternative data being sourced and utilized?

Alternative data in use

To give you an idea of just how significant alternative data can be, and the seemingly endless channels from which it can be sourced, we’re going to look at recent examples involving three brands; Chipotle, GoPro and JCPenney.

1. Chipotle

The CEO of Foursquare, which is a search-and-discovery service mobile app, predicted a 30% drop in Q1 sales for Chipotle, based on footfall data accumulated by their app users. Foursquare could see a drop in customer footfall based on a decrease in their users ‘checking-in’ at Chipotle restaurants, and they were correct.

Screenshot 2017-03-31 at 7.01.03 PMSource: https://medium.com/foursquare-direct/foursquare-predicts-chipotle-s-q1-sales-down-nearly-30-foot-traffic-reveals-the-start-of-a-mixed-78515b2389af#.bycy28hgd

2. GoPro

In November of last year, Wall Street was shocked by the news that GoPro had reported a loss of 60 cents per share on $240.56 million in revenue, after analysts had predicted a far less severe loss of 36 cents per share on $314.06 million in revenue.

While Wall Street never saw this coming, Quandl, a financial data provider were able to foresee the drop in GoPro earnings. In this case, the data came from electronic receipts extracted from over 3 million inboxes. A significant decline in email sales receipts from GoPro’s biggest distribution channel, Amazon, was a key indicator of what was to come. The graph below shows a clear drop in Q3 sales from Amazon, in contrast to other channels;

GoPro revenue estimates by channel

Screenshot 2017-03-31 at 7.02.37 PMSource: https://blog.quandl.com/email-receipts-predicted-gopros-q3-earnings

3. JCPenney

When JCPenney reported their Q2 results in 2015, the news came as a surprise to most investors. However, some investors were not surprised at all, because they had been tracking satellite imagery of JCPenney parking lots in near real-time which showed a clear trend in increasing customer footfall.

Screenshot 2017-03-31 at 7.04.18 PMSatellite images of JCPenney parking lots indicated an increase in customer footfall

These three examples show alternative data being sourced from a social app, email receipts and satellite imagery, highlighting the breadth and variety of potential sources that can be explored.

How can NLP and Text Analysis help?

These days we have more data at our fingertips than ever before. One of the main challenges is extracting meaningful insights from it, particularly from vast amounts of unstructured data. Advancements in Natural Language Processing (NLP), Machine Learning and Text Analysis are assisting analysts in exploring data sources that previously would not have been considered worthwhile to their use case or industry.

Here are a few examples:

Social media

Social media channels such as Twitter and Facebook are a gold mine of public opinion and information just waiting to be tapped. If you want to know how the public feels about a specific brand, individual or event, social media offers an easily accessible data source that can be analyzed for trends to help predict consumer behavior.

For example, our sentiment analysis of 1.7 million tweets during last year’s Super Bowl showed Amazon to be the most talk-about brand during the game. Their ad for the Echo also received the highest level of positive sentiment. Result: the Amazon Echo shot up to second place in the bestseller list within a week.

News stories

Highly advanced yet accessible NLP advancements have made it super easy to source and analyze large amounts of news content that can be narrowed down by countless search parameter combinations to deliver precise results to the end-user.

One relevant example we have been seeing among our News API users is the analysis of press releases containing mentions of specific keywords, individuals and companies that are of interest to, for example, an investor.

An investor may have a portfolio of multiple startup companies and may also be keeping a close eye on numerous others. By automatically pulling stories containing mentions of ‘startups’, companies within their own portfolio or companies in a similar area, as soon as they are published, they are accessing the very latest information and can therefore act accordingly and without delay.

Screenshot 2017-03-31 at 5.59.52 PMSearch result from our live News API demo

Some users have even automated their trading process based on press releases, earnings announcements and news of acquisitions.

Customer reviews

The analysis of online customer reviews at scale provides an opportunity for savvy sales professionals and marketers looking to spot a need or weakness in the product or service being reviewed. For example, we analyzed the sentiment of 500 hotel reviews and, using Aspect-Based Sentiment Analysis, we were able to uncover how reviewers felt about specific hotel aspects, such as location, beds, food, staff and WiFi.

As you can see from the charts below, where green = positive and red = negative, the hotel particularly fell down in the areas of beds, WiFi and overall value. As a seller of beds or WiFi solutions, for example, we would find this data extremely useful.

Screenshot 2017-03-31 at 7.12.40 PMAspect-Based Sentiment Analysis of hotel reviews

Conclusion

While we’ve merely scratched the surface today we hope we’ve given you a useful and insightful introduction to alternative data and how it is being used more and more to gain competitive advantage in a multitude of use cases and industries.





News API - Sign up




0

Intro

With our News API, our goal is to make the world’s news content easier to query, just like a database. Additionally, we leverage Machine Learning to process, normalize and analyze this content to make it easier for our users to gain access to rich and high quality metadata, and use powerful filtering capabilities that will ultimately help you to source and analyze the most relevant content for your own specific needs.

To this end, we have just launched a couple of cool new features – NOT queries and Canonical URL Extraction. You can read more about these features – which are now also available in our News API SDKs – below.

New feature: NOT queries

Our News API offers the ability to source news content based on a combination of user-defined search parameters. By defining precisely what you want to see within the body, title or metadata of a news story – whether it be specific keywords, entities, sentiment, image/video count or social media performance – our API makes it easy for you to do so.

In many cases, the content you are not sourcing can be just as important as the content you are sourcing.

But what if you want to exclude certain keywords, entities, sentiment, image/video counts or social metrics from your results? In many cases, the content you are not sourcing can be just as important as the content you are sourcing, and this is exactly why we’ve added NOT queries to our News API.

NOT queries give our users the ability to ignore certain stories by adding exclusion rules to almost any parameter when calling the News API.

Here’s an example:

We recently looked at our monthly media round-up using the News API and wanted to uncover how much of the news content published within the Law, Politics & Government category mentioned Donald Trump. By using a NOT query, we immediately rejected all stories within this category that mentioned the US President. The chart below visualizes our results;

Volume of stories published: Law, Government & Politics with/without Trump


The red volume above represents all 163,000+ stories published in this category in February 2017. The yellow volume represents all stories from this category that did not mention Donald Trump. The total: 48,000 stories.

This means that around 70% of all stories in this category mentioned the US President, but more importantly it shows us, in a simple way, how NOT queries can be used to exclude the content we don’t want to see and return only the content that is relevant to our specific use case.

Using NOT queries

Using a NOT query is really quite simple. All you need to do is add an exclamation mark ‘!’ before a parameter. For example, let’s say we do not want to source any stories from the USA;

!source.locations.country[]=US

As another example, we can exclude all stories written by a specific author;

!author.name[]=”Jane Doe”

It really is that simple. Just add the ‘!’ and that parameter will be excluded.

Screen Shot 2017-03-14 at 18.22.46

Naturally, some parameters don’t suit NOT queries. For example sort_by, per_page or sort_direction. To see which parameters support NOT queries, you can always check our News API documentation.

Benefit

The benefit that NOT queries bring is the ability to create more precise search queries than ever before. By combining them with your regular queries, you can create a search that pinpoints content to match your specific requirements.

Put simply, your search queries can now be tailored not only to include exactly what keywords, entities and sources you want, but they can also exclude those that you don’t want – giving you more targeted and relevant results than ever before.

Example query

To show you an example of NOT queries in action, we’re going to search for the following;

Stories with titles containing entity ‘Samsung’ but not mentioning entity ‘Apple’, published in the past day, in the English language.

Here’s our query;

And here’s a sample of what the JSON results for this query look like;


{
  "stories": [
    {
      "id": 30280136,
      "title": "Throwback: Samsung \"Taylor\" Windows Phone Prototype",
      "body": "In mid-2010, I was one of the lucky few to get a prototype Windows phone, the Samsung Taylor. Over six years later, it still works fine. And today, it represents an interesting slice of time in the life of Microsoft’s now-failed but wonderful mobile platform.\n\nAs I recall it, the Taylor was one of two hardware prototypes that Microsoft carted around in early 2010 as it showed off Windows Phone 7 Series, as this platform was first called. Also, there were basically two sets of each, as the software had to be specially—ahem—tailored (I’m here all week, folks) to support the video-out capabilities needed for public demonstrations. So some had the production builds on them, and some were compiled for demo purposes.\n\nMy first hands-on moment with Taylor—and that other Windows phone device, whose name now escapes me, plus of course the Windows Phone OS—came in May 2010, when I visited the Microsoft campus. I was led into a dark basement room in a secret location and was able to spend two days documenting every screen in the system—with photos and via an incredible set of notes—which I used as the basis to start writing the book that became Windows Phone 7 Secrets.\n\nBut I waited two months until I had a phone of my own. Finally, in mid-July, I received a Samsung Taylor from Microsoft, which I could use for my writings about Windows phone, in the book, and on the web. It helped me complete Windows Phone Secrets—which I did in late July, literally the day before my family left for our home swap—and I used the phone internationally on that trip, in Germany and France.\n\nMicrosoft warned me at the time that the device I’d received did not represent shipping hardware, though the underlying software was near-complete. I didn’t care. I was in love.\n\nHere’s how I described it at the time.\n\nWhen Microsoft finally presented me with a Windows Phone prototype that I could take home and use out in the real world, they were curiously embarrassed by the device, which I was told repeatedly didn’t represent “ship quality” hardware, and wasn’t indicative of the thin, light, and gorgeous hardware that’s really going to sell to consumers. They shouldn’t be so down on it. The prototype is fine.\n\nThe developer device is a Samsung Taylor SGH-i707, and it comes with all the hardware one would expect given the Windows Phone 7 required  Microsoft was also apologetic about the device’s screen, which displays at the lower of the two possible Windows Phone 7 resolutions, 480 x 320 (HVGA) instead of 800 x 480 (WVGA). Then you turn the thing on and just laugh out loud—I told you there’d be moments like this—because the display is simply gorgeous. In fact, it’s largely identical to the excellent Zune HD screen, featuring the same resolution and the same superior OLED quality. (The Samsung screen is much bigger than the Zune HD screen, however.) Colors appear to jump off of this screen, and the blacks are so black, they almost appear infinite. Did I mention this was a gorgeous screen? Oh yes. It is.\n\nAs a non-ship-level device, there are ports and plastic covers, and holes all over this device. There’s a huge 5-megapixel camera that sticks out of the back by a tiny amount, another embarrassment to Microsoft. (Hey, it takes great high-resolution photos and video.) The headphone jack and USB connection port both have awful plastic covers that are hard to pry off when you’ve just cut your fingernails. A similar cover appears over the mini-SD slot, though that’s no biggie since no Windows Phone 7 device will ship with such a memory port anyway. (Through a combination of internal and SD-based memory, the prototype sports about 8 GB of storage.)\n\nThere are speakers on the top and bottom of the phone—take that iPhone, and every other Apple mobile product—and, if I’m not mistaken, microphones on both the top and bottom too. Oddly, there’s a front-facing camera that isn’t connected to anything.\n\nAll of the required buttons are present, including Back, Start, and Search across the front, a dedicated power/sleep button on the side, volume up and down and, glory be to God, a camera button. This button is particularly genius, because it connects to a new software feature in Windows Phone that Microsoft calls “pocket to picture.” So even if you’ve locked your phone, you can tap this button and take a picture, almost instantaneously. There’s no fumbling with the device’s lock screen and passcode, and then finding and launching the camera app. You know, like you have to do on an iPhone. Oops, the moment already passed: The story of your life with iPhone.\n\nThe system’s performance is generally amazing. It awakes instantly, of course, and navigation through the various phone UIs is fluid and fast. I have had some performance issues around media playback and Zune software syncing, but then maybe I shouldn’t have been trying to play a 720 x 480 DVD rip of “Avatar” in the first place. (Shocker: It plays.) I haven’t yet had a chance to test any full-screen XNA games, but from what I can see, this should be a decent game player.\n\nI [also] don’t have a firm handle on battery life, and of course we can’t judge Windows Phone on this prototype. In regular usage, the phone doesn’t last the day, basically, and I’ve been leaving it plugged in while writing for the most part. It does have a removable battery, naturally, and because it’s a GSM-type device, I was able to pull out my iPhone 3GS’s SIM and just make the switch. (Irony alert: My iPhone 3GS reports a stronger 3G signal in my house than does the Windows Phone device. I suspect Windows Phone is more accurate given that I’m in a dead zone. And this is after the software update.)\n\nOverall, the prototype isn’t all that interesting aesthetically but then it’s not the car crash that Microsoft seems to believe it is either. Their over-the-top reaction to this device makes me believe that we’re going to see some pretty stunning hardware come this fall’s launch. I can’t wait to see what’s available then.\n\nLooking at it today, the Samsung Taylor is small and stubby, with a very small screen by today’s standards. The little covers on the USB, headphone, and microSD ports remain ridiculous.\n\nThe version of Windows Phone OS on there—6414.PPEscrow, a pre-release version—will never be updated. Microsoft offered to update it to the final shipping version of the OS, but I declined, and the device was subsequently never upgraded to “NoDo,” the first major upgrade. (The one that added Copy and Paste.) The firmware, amusingly, is revision number 1.0.0.0.\n\nThe OS is familiar but dated. It features the empty space next to the Start tiles that bothered so many people and was later removed. Yahoo! Mail is prominently displayed on Start. The store is still called Marketplace, and the Music + Videos hub is still Zune. (As I recall, you had to sync this device with the Zune PC software, as you did with a Zune music player.)\n\nAnyway, I love that this thing still works. And I still feel the pull of that year, when Windows Phone was still new, and special, and full of promise.",
      "summary": {
        "sentences": [
          "As I recall it, the Taylor was one of two hardware prototypes that Microsoft carted around in early 2010 as it showed off Windows Phone 7 Series, as this platform was first called.",
          "My first hands-on moment with Taylor—and that other Windows phone device, whose name now escapes me, plus of course the Windows Phone OS—came in May 2010, when I visited the Microsoft campus.",
          "When Microsoft finally presented me with a Windows Phone prototype that I could take home and use out in the real world, they were curiously embarrassed by the device, which I was told repeatedly didn’t represent “ship quality” hardware, and wasn’t indicative of the thin, light, and gorgeous hardware that’s really going to sell to consumers.",
          "The developer device is a Samsung Taylor SGH-i707, and it comes with all the hardware one would expect given the Windows Phone 7 required  Microsoft was also apologetic about the device’s screen, which displays at the lower of the two possible Windows Phone 7 resolutions, 480 x 320 (HVGA) instead of 800 x 480 (WVGA).",
          "This button is particularly genius, because it connects to a new software feature in Windows Phone that Microsoft calls “pocket to picture.”"
        ]
      },
      "source": {
        "id": 2045,
        "name": "Thurrott",
        "title": "thurrott.com/",
        "links_in_count": 102,
        "home_page_url": "https://www.thurrott.com/",
        "domain": "thurrott.com",
        "logo_url": "https://www.thurrott.com/wp-content/plugins/powerpress/rss_default.jpg",
        "locations": [],
        "scopes": [],
        "rankings": {
          "alexa": [
            {
              "rank": 26377,
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 22524,
              "country": "IN",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 66037,
              "country": "ES",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 27567,
              "country": "PK",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 11485,
              "country": "US",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 29372,
              "country": "RO",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 5236,
              "country": "IE",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 39619,
              "country": "IR",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 32900,
              "country": "BE",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 14609,
              "country": "AU",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 36373,
              "country": "PL",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 12654,
              "country": "GB",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 33297,
              "country": "FR",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 26650,
              "country": "IT",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 30710,
              "country": "CZ",
              "fetched_at": "2016-12-03T15:11:17Z"
            },
            {
              "rank": 18614,
              "country": "ZA",
              "fetched_at": "2016-12-03T15:11:18Z"
            },
            {
              "rank": 16912,
              "country": "DK",
              "fetched_at": "2016-12-03T15:11:18Z"
            },
            {
              "rank": 41612,
              "country": "NL",
              "fetched_at": "2016-12-03T15:11:18Z"
            },
            {
              "rank": 10893,
              "country": "CA",
              "fetched_at": "2016-12-03T15:11:18Z"
            },
            {
              "rank": 50002,
              "country": "DE",
              "fetched_at": "2016-12-03T15:11:18Z"
            }
          ]
        }
      },
      "author": {
        "id": 673346,
        "name": "Paul Thurrott"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung",
            "score": 0.9418449337715811,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                11,
                17
              ]
            ]
          },
          {
            "text": "Windows Phone",
            "score": 0.9998067957273178,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Windows_Phone"
            },
            "indices": [
              [
                28,
                40
              ]
            ]
          },
          {
            "text": "Taylor \"Windows Phone Prototype",
            "types": [
              "Person"
            ],
            "indices": []
          }
        ],
        "body": [
          {
            "text": "Shocker",
            "score": 0.9999978665487127,
            "types": [
              "TelevisionShow",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Kamen_Rider"
            },
            "indices": [
              [
                4917,
                4923
              ]
            ]
          },
          {
            "text": "France",
            "score": 0.9999999990855031,
            "types": [
              "Country",
              "Place"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/France"
            },
            "indices": [
              [
                1577,
                1582
              ]
            ]
          },
          {
            "text": "7 Series",
            "score": 0.999999999994543,
            "types": [
              "Automobile",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/BMW_7_Series"
            },
            "indices": [
              [
                397,
                404
              ]
            ]
          },
          {
            "text": "Zune HD",
            "score": 1,
            "types": [
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Zune_HD"
            },
            "indices": [
              [
                2705,
                2711
              ],
              [
                2831,
                2837
              ]
            ]
          },
          {
            "text": "XNA",
            "score": 1,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Microsoft_XNA"
            },
            "indices": [
              [
                4988,
                4990
              ]
            ]
          },
          {
            "text": "iPhone",
            "score": 0.9999999999940883,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/IPhone"
            },
            "indices": [
              [
                3732,
                3737
              ],
              [
                4507,
                4512
              ],
              [
                4576,
                4581
              ],
              [
                5412,
                5417
              ],
              [
                5472,
                5477
              ]
            ]
          },
          {
            "text": "USB",
            "score": 1,
            "types": [
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/USB"
            },
            "indices": [
              [
                3306,
                3308
              ],
              [
                6131,
                6133
              ]
            ]
          },
          {
            "text": "Microsoft",
            "score": 0.6256516726461149,
            "types": [
              "Software",
              "product",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Microsoft_Windows"
            },
            "indices": [
              [
                206,
                214
              ],
              [
                328,
                336
              ],
              [
                896,
                904
              ],
              [
                1288,
                1296
              ],
              [
                1586,
                1594
              ],
              [
                1810,
                1818
              ],
              [
                2345,
                2353
              ],
              [
                3216,
                3224
              ],
              [
                4218,
                4226
              ],
              [
                5774,
                5782
              ],
              [
                6286,
                6294
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9957766865519634,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                78,
                84
              ],
              [
                1268,
                1274
              ],
              [
                2232,
                2238
              ],
              [
                2792,
                2798
              ],
              [
                6023,
                6029
              ]
            ]
          },
          {
            "text": "Zune",
            "score": 1,
            "types": [
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Zune"
            },
            "indices": [
              [
                2705,
                2708
              ],
              [
                2831,
                2834
              ],
              [
                4789,
                4792
              ],
              [
                6804,
                6807
              ],
              [
                6861,
                6864
              ],
              [
                6897,
                6900
              ]
            ]
          },
          {
            "text": "Windows phone",
            "score": 1,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Windows_Phone"
            },
            "indices": [
              [
                59,
                71
              ],
              [
                774,
                786
              ],
              [
                1339,
                1351
              ]
            ]
          },
          {
            "text": "Windows Phone",
            "score": 0.9999999999990905,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Windows_Phone"
            },
            "indices": [
              [
                383,
                395
              ],
              [
                842,
                854
              ],
              [
                1152,
                1164
              ],
              [
                1405,
                1417
              ],
              [
                1848,
                1860
              ],
              [
                2319,
                2331
              ],
              [
                2450,
                2462
              ],
              [
                3501,
                3513
              ],
              [
                4199,
                4211
              ],
              [
                5142,
                5154
              ],
              [
                5538,
                5550
              ],
              [
                5570,
                5582
              ],
              [
                6200,
                6212
              ],
              [
                7007,
                7019
              ]
            ]
          },
          {
            "text": "Windows",
            "score": 0.999999485428039,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Windows_Phone"
            },
            "indices": [
              [
                59,
                65
              ],
              [
                383,
                389
              ],
              [
                774,
                780
              ],
              [
                842,
                848
              ],
              [
                1152,
                1158
              ],
              [
                1339,
                1345
              ],
              [
                1405,
                1411
              ],
              [
                1848,
                1854
              ],
              [
                2319,
                2325
              ],
              [
                2450,
                2456
              ],
              [
                3501,
                3507
              ],
              [
                4199,
                4205
              ],
              [
                5142,
                5148
              ],
              [
                5538,
                5544
              ],
              [
                5570,
                5576
              ],
              [
                6200,
                6206
              ],
              [
                7007,
                7013
              ]
            ]
          },
          {
            "text": "Windows Phone 7",
            "score": 0.9999999723586374,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Windows_Phone"
            },
            "indices": [
              [
                383,
                397
              ],
              [
                1152,
                1166
              ],
              [
                2319,
                2333
              ],
              [
                2450,
                2464
              ],
              [
                3501,
                3515
              ]
            ]
          },
          {
            "text": "Germany",
            "score": 0.9999910409516144,
            "types": [
              "Country",
              "Place"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Germany"
            },
            "indices": [
              [
                1565,
                1571
              ]
            ]
          },
          {
            "text": "Apple",
            "score": 1,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Apple_Inc."
            },
            "indices": [
              [
                3756,
                3760
              ]
            ]
          },
          {
            "text": "Taylor",
            "types": [
              "Person"
            ],
            "indices": [
              [
                86,
                91
              ],
              [
                281,
                286
              ],
              [
                752,
                757
              ],
              [
                1276,
                1281
              ],
              [
                2240,
                2245
              ],
              [
                6031,
                6036
              ]
            ]
          },
          {
            "text": "Start",
            "types": [
              "Person"
            ],
            "indices": [
              [
                3976,
                3980
              ],
              [
                6618,
                6622
              ],
              [
                6722,
                6726
              ]
            ]
          },
          {
            "text": "iPhone 3GS",
            "types": [
              "product"
            ],
            "indices": [
              [
                5412,
                5421
              ],
              [
                5472,
                5481
              ]
            ]
          },
          {
            "text": "Yahoo!",
            "types": [
              "product"
            ],
            "indices": []
          },
          {
            "text": "Samsung Taylor",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                78,
                91
              ],
              [
                1268,
                1281
              ],
              [
                2232,
                2245
              ],
              [
                6023,
                6036
              ]
            ]
          },
          {
            "text": "5-megapixel",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                3126,
                3136
              ]
            ]
          },
          {
            "text": "Search",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                3987,
                3992
              ]
            ]
          },
          {
            "text": "3GS",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                5419,
                5421
              ],
              [
                5479,
                5481
              ]
            ]
          }
        ]
      },
      "keywords": [
        "Taylor",
        "Windows",
        "Phone",
        "Samsung",
        "Prototype",
        "Throwback",
        "Windows Phone",
        "Windows phone",
        "phone",
        "device",
        "Microsoft",
        "screen",
        "prototype",
        "software",
        "camera",
        "hardware",
        "iPhone",
        "Zune",
        "Start",
        "Shocker",
        "France",
        "firmware",
        "7 Series",
        "Zune HD",
        "XNA",
        "USB",
        "HVGA",
        "WVGA",
        "port",
        "Microsoft campus",
        "Windows Phone 7",
        "Germany",
        "microSD",
        "OLED",
        "DVD",
        "Apple"
      ],
      "hashtags": [
        "#WindowsPhone",
        "#MicrosoftWindows",
        "#Samsung",
        "#IPhone",
        "#Zune",
        "#GraphicsDisplayResolution",
        "#ZuneHD",
        "#Porting",
        "#USB",
        "#France",
        "#OLED",
        "#MicrosoftXNA",
        "#KamenRider",
        "#Germany",
        "#DVD",
        "#XNA",
        "#HVGA",
        "#AppleInc",
        "#SecureDigital",
        "#PC",
        "#BMW7Series",
        "#DVDPlayer",
        "#Firmware",
        "#MicrosoftRedmondCampus",
        "#WVGA"
      ],
      "characters_count": 7069,
      "words_count": 1305,
      "sentences_count": 69,
      "paragraphs_count": 18,
      "categories": [
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.5334573901826565,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.3787825196040067,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003000",
          "taxonomy": "iptc-subjectcode",
          "level": 2,
          "score": 1,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04000000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [],
        "google_plus": [],
        "linkedin": [],
        "reddit": []
      },
      "media": [
        {
          "type": "image",
          "url": "https://www.thurrott.com/wp-content/uploads/2016/12/phone-hero.jpg",
          "format": "JPEG",
          "content_length": 263688,
          "width": 1280,
          "height": 720
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.841761
        },
        "body": {
          "polarity": "positive",
          "score": 0.990244
        }
      },
      "language": "en",
      "published_at": "2016-12-22T16:40:51Z",
      "links": {
        "permalink": "https://www.thurrott.com/mobile/windows-phone/87192/throwback-samsung-taylor-windows-phone-prototype",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30280136",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30280136"
      }
    },
    {
      "id": 30256208,
      "title": "Samsung Galaxy S8 vs. LG G6: Expected Specs, Features and More",
      "body": "As 2016 ends, smartphone enthusiasts have much to look out for in 2017, including flagship smartphones.  Samsung Galaxy S8 and LG G6 are two phones that will determine the companies’ fortunes in the next year as both companies will have something to prove with their phones.\n\nFollowing the Note 7 scandal, Samsung needs the Galaxy S8 to be a success while LG needs to make up for the low sales numbers of the G5 in 2016. Both of the smartphones are expected to come with a slew of rumored features such as an iris scanner and bezel-less displays.\n\nLet’s compare the two and find out, based on rumored features, how they fare:\n\nSecurity Features:  In terms of making your phones secure, both Samsung and LG are doing their bit. While Samsung is expected to endow the Galaxy S8 with a display embedded fingerprint scanner, the LG G6 is expected to come out with an Iris scanner, similar to one on the Galaxy Note 7.\n\nBut LG has lent its own touch to the iris scanner — while Note 7 used a secondary scanner dedicated to iris scanning, LG is expected to combine two cameras in a single module, which will let both function using the same lens, which is expected to enhance the response rate of the camera.\n\nProcessor and RAM: While the S8 is expected to come with a Snapdragon 835 processor with 6/8GB RAM, the G6 is expected to be slightly less powerful with a Snapdragon 830 processor and 4GB RAM.\n\nDisplay: Both phones are expected to flaunt OLED displays with some differences. While the Samsung Galaxy S8 is expected to come with an edge-to-edge full OLED display with an all-glass body, the G6 is expected to have a full glass display with a metal back.\n\nWaterproof certification: Both phones are expected to be water-resistant, but while the G6 is expected to have mild water-resistance like the iPhone 7 owing to its modular design, the S8 is expected to highly water-resistant with an IP68 certification.\n\nBoth phones are expected to launch at MWC 2017.",
      "summary": {
        "sentences": [
          "Samsung Galaxy S8 and LG G6 are two phones that will determine the companies’ fortunes in the next year as both companies will have something to prove with their phones.",
          "Following the Note 7 scandal, Samsung needs the Galaxy S8 to be a success while LG needs to make up for the low sales numbers of the G5 in 2016.",
          "Let’s compare the two and find out, based on rumored features, how they fare:\n\nSecurity Features:  In terms of making your phones secure, both Samsung and LG are doing their bit.",
          "While Samsung is expected to endow the Galaxy S8 with a display embedded fingerprint scanner, the LG G6 is expected to come out with an Iris scanner, similar to one on the Galaxy Note 7.",
          "While the Samsung Galaxy S8 is expected to come with an edge-to-edge full OLED display with an all-glass body, the G6 is expected to have a full glass display with a metal back."
        ]
      },
      "source": {
        "id": 393,
        "name": "International Business Times - US",
        "title": "International Business Times",
        "description": "World business and financial news.",
        "links_in_count": 34707,
        "home_page_url": "http://www.ibtimes.com/",
        "domain": "ibtimes.com",
        "locations": [
          {
            "country": "US"
          }
        ],
        "scopes": [
          {
            "country": "US",
            "level": "national"
          },
          {
            "level": "international"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 2733,
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2383,
              "country": "IN",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4665,
              "country": "ID",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1555,
              "country": "SG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2603,
              "country": "MY",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6555,
              "country": "ES",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2040,
              "country": "PK",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1109,
              "country": "US",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1825,
              "country": "IE",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2325,
              "country": "AU",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2546,
              "country": "CH",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 976,
              "country": "NG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1771,
              "country": "GB",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6019,
              "country": "FR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4557,
              "country": "KR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 7211,
              "country": "BR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 487,
              "country": "IT",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2019,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1723,
              "country": "CA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 19414,
              "country": "JP",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 5571,
              "country": "DE",
              "fetched_at": "2016-08-22T16:48:32Z"
            }
          ]
        }
      },
      "author": {
        "id": 632805,
        "name": "Rishabh Jain"
      },
      "entities": {
        "title": [
          {
            "text": "S8",
            "score": 0.8199424263556926,
            "types": [
              "RailwayLine"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/S8_(ZVV)"
            },
            "indices": [
              [
                15,
                16
              ]
            ]
          },
          {
            "text": "LG",
            "score": 0.8302072141674911,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/LG_Electronics"
            },
            "indices": [
              [
                22,
                23
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "product",
              "Organisation"
            ],
            "indices": [
              [
                0,
                13
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Galaxy Note",
            "score": 0.8819030737965632,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_Note_series"
            },
            "indices": [
              [
                899,
                909
              ]
            ]
          },
          {
            "text": "RAM",
            "score": 1,
            "types": [
              "Person"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Random-access_memory"
            },
            "indices": [
              [
                1218,
                1220
              ],
              [
                1299,
                1301
              ],
              [
                1392,
                1394
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9323904764649562,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                105,
                111
              ],
              [
                306,
                312
              ],
              [
                691,
                697
              ],
              [
                733,
                739
              ],
              [
                1489,
                1495
              ]
            ]
          },
          {
            "text": "Iris",
            "score": 0.9971617655503953,
            "types": [
              "Plant"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Iris_(plant)"
            },
            "indices": [
              [
                863,
                866
              ]
            ]
          },
          {
            "text": "S8",
            "score": 0.9999257682845796,
            "types": [
              "Automobile",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Audi_A8"
            },
            "indices": [
              [
                120,
                121
              ],
              [
                331,
                332
              ],
              [
                773,
                774
              ],
              [
                1233,
                1234
              ],
              [
                1504,
                1505
              ],
              [
                1842,
                1843
              ]
            ]
          },
          {
            "text": "LG",
            "score": 0.9993462599808449,
            "types": [
              "Company",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/LG_Corp"
            },
            "indices": [
              [
                127,
                128
              ],
              [
                356,
                357
              ],
              [
                703,
                704
              ],
              [
                825,
                826
              ],
              [
                919,
                920
              ],
              [
                1033,
                1034
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "product",
              "Organisation"
            ],
            "indices": [
              [
                105,
                118
              ],
              [
                1489,
                1502
              ]
            ]
          },
          {
            "text": "LG G6",
            "types": [
              "product"
            ],
            "indices": [
              [
                127,
                131
              ],
              [
                825,
                829
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S8",
            "types": [
              "product"
            ],
            "indices": [
              [
                105,
                121
              ],
              [
                1489,
                1505
              ]
            ]
          },
          {
            "text": "iPhone 7",
            "types": [
              "product"
            ],
            "indices": [
              [
                1800,
                1807
              ]
            ]
          }
        ]
      },
      "keywords": [
        "Specs",
        "Samsung",
        "Galaxy",
        "Features",
        "S8",
        "LG",
        "Samsung Galaxy",
        "iris scanner",
        "phones",
        "full OLED",
        "displays",
        "cameras",
        "smartphone",
        "scanner",
        "OLED",
        "iris",
        "full",
        "features",
        "function",
        "lens",
        "Processor",
        "module",
        "smartphones",
        "Galaxy Note",
        "RAM",
        "fingerprint scanner",
        "Snapdragon",
        "Iris"
      ],
      "hashtags": [
        "#LG",
        "#LGCorp",
        "#AudiA8",
        "#Samsung",
        "#Smartphone",
        "#OLED",
        "#QualcommSnapdragon",
        "#RAM",
        "#RandomaccessMemory",
        "#Iris",
        "#FingerprintRecognition",
        "#SamsungGalaxyNoteSeries",
        "#IrisRecognition"
      ],
      "characters_count": 1959,
      "words_count": 354,
      "sentences_count": 12,
      "paragraphs_count": 9,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.17399955624653787,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.1356981273942642,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 0.9999999988056136,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [],
        "google_plus": [],
        "linkedin": [],
        "reddit": []
      },
      "media": [
        {
          "type": "image",
          "url": "http://s1.ibtimes.com/sites/www.ibtimes.com/files/2016/12/22/samsung-galaxy-s8-vs-lg-g6.jpg",
          "format": "JPEG",
          "content_length": 1358991,
          "width": 4895,
          "height": 3300
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.657545
        },
        "body": {
          "polarity": "negative",
          "score": 0.995238
        }
      },
      "language": "en",
      "published_at": "2016-12-22T12:37:47Z",
      "links": {
        "permalink": "http://www.ibtimes.com/samsung-galaxy-s8-vs-lg-g6-expected-specs-features-more-2464155",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30256208",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30256208"
      }
    },
    {
      "id": 30254554,
      "title": "Best Samsung Galaxy S7 cases you can buy right now",
      "body": "For some, covering your brand new Samsung Galaxy S7 in a protective case is like hiding it from the world. While not necessarily true, we get the point: you want to enjoy the stellar design and the smooth edges at all times.\n\nBut, the thing about phones is, they come along with us everywhere. And sometimes, everywhere won't treat the S7 as nicely as you do. In those situations, slapping on a case is a little easier to swallow.\n\nWe've put together a guide to show you the best cases available for the Samsung Galaxy S7. And, while some of the best are manufactured by Samsung itself, there's an ever growing number of other impressive options from companies like Speck and Dog & Bone too.\n\nThese are the cases that do their best not to turn this gorgeous phone into an ugly one. Some of them even provide additional functionality that isn't possible with just the phone alone.\n\nWe're constantly on the lookout for new additions to our roundup, but if you have a favorite, please let us know in the comments.\n\nNote: we've ranked these from cheapest to most expensive according to prices at time of writing.\n\nIf the crop of Samsung Galaxy S7 cases is anything to go by, transparent bumpers are the clear winner. The Crystal Mixx is a fine attempt at see-through security, with its ultra-thin design adding plenty of protection on the corners. The case also raises up towards the top and bottom to guard against screen-down drops.\n\nThe end result is hardly rare on the market, but the Crystal Mixx is pure minimalism.\n\nIt may have cut its teeth by developing military-grade phone cases in the past, but this new case from Griffin is as ultra-thin as it is protective.\n\nCompletely transparent it may be, but the Reveal has tough rubber edges tech-tested to help the S7 survive bumps and drops. Perhaps just as useful is the tactile feel of the Reveal, which makes the Samsung Galaxy S7 a lot easier to hold stably while still being a cinch to slip out of a pocket.\n\nCould do with more color options\n\nNo one wants a case that takes away from the precisely-engineered curves of the Samsung Galaxy S7. But this one actually adds to them. This metallic textured case is shaped like an hourglass and adds a grip onto the sides for added stability.\n\nA wallet case, kickstand and drop proof protector all in one, the MANNA UltraSlim is an intriguing proposition. On the inside there's a soft microfiber lining and a slot for a credit card or two, with prominent corner pads to protect against drops.\n\nOn the outside is a wraparound magnetic clasp, which both closes the case firmly (handy for securing any cards and cash inside) and can be pulled back to act as a kickstand for watching videos. Made from Nappa leather, MANNA UltraSlim is available in brown, red or black.\n\nA SlickWraps Carbon Fiber Skin won't give your Galaxy S7 much drop protection, so if you're accident-prone this isn't the case for you, but it will help protect the phone from scratches, which is especially handy if you keep your handset in a bag or pocket with keys or other jagged belongings. And as a skin it does that without adding much weight or thickness to your phone.\n\nThe carbon fiber design is more than just a pattern too, as it even imitates the texture for a grippy, stylish finish. Understated colors like black and silver are joined by bright orange and pink shades, among others, so there's a lot of choice too.\n\nHas anyone else noticed the plethora of wood-effect cases being worn by pals' smartphones? The curated look is a definite trend that's here tapped into by the WoodBack Snap. Wireless charging compatible, the WoodBack Snap is handmade – laser-cut, actually – from natural wood grain, though still includes the usual cut-outs.\n\nFinished with a blend of vegetable oils and wax, the WoodBack Snap comes in 14 different finishes. Ideal for lumberjacks everywhere.\n\nLike most clear cases, this one from Speck keeps it simple. The unibody case slips over the phone and can protect it from unexpected drops, it even can defend against yellowing with UV protection. Of course being clear it doesn't detract too much from the design of the S7 either, so keep an eye out for it if you're a minimalist.\n\nThese are similar in style to the CandyShell clear case, but Speck also makes some options that are a little more vibrant looking, too. From left to right, there's the standard CandyShell case in black, the Grip case in one of its four assortments of colors and, finally, Speck's Inked variation, which splashes a gorgeous look onto the standard case.\n\nThe Grip version doesn't just add color, but also raised rubber ridges, making it easier to hold on to.\n\nPricey for what it is\n\nSamsung's very own Clear Cover was the most unobtrusive and visually striking case option available at launch and it still stands out now. The clear back allows the Galaxy S7's rounded, glass back to shine, and the metallic bumpers keep it from bursting (hopefully) should you drop it.\n\nHere's another spartan case designed to make the best of the Galaxy S7's sleek look, but the Ghostek Cloak Tough – as its name suggests – has a hard-as-nails aluminum structure inside that surrounds the phone, defending against drops.\n\nAs a defensive bonus, it also includes both a gel-style covering and a separate screen protector.\n\nWhen you're dealing with a phone as beautiful as the Samsung Galaxy S7, usually even the most stylish cases make it slightly uglier, but there's an argument to be made for the Carved Special Edition Engraved series actually improving its looks.\n\nThe rubber bumper is an unfortunate finish, but it barely detracts from the beautiful wood back, engraved with geometric animals. And if animals or geometry aren't your thing, Carved has a selection of other similarly impressive wooden cases with different designs.\n\nThis case for the Galaxy S7 takes the minimalistic look of a clear case and adds a playful strip of color around its edges. It's packed with military-grade toughness, so the phone, from front-to-back, will be protected from unexpected drops.\n\nFor a classy look, check out Samsung's S View case. Like the Clear View case, this one covers the Galaxy S7 from front-to-back, too. But this also complements the S7's design with a slick look that uniformly fits to the phone. Through the square view window, you'll be able to peep every notification without unlocking your device.\n\nDescribed as a 'leatherette' case, this vegan-friendly curvy cover features a neat leather back and a metallic surround. It's a business-like, sophisticated look, but the iGlaze Napa is practical on the inside.\n\nBeneath the raised bezel that protects the Samsung Galaxy S7's 1440 x 2560 pixel screen is a shock-absorbing inner shell attached to a shatterproof polycarbonate casing. Available in Caramel Beige and Onyx Black.\n\nFor those of you who just can't quit the physical QWERTY keyboard, Samsung has done you a real favor. The Galaxy S7 Keyboard case, which is exactly like the one introduced at the Samsung Galaxy Note 5 launch, snaps onto the bottom of the phone and is every frantic texter's dream.\n\nIt definitely cramps the S7's style a bit, but on rare occasions such as these, functionality trumps form.\n\nLooks cheaper than it is\n\nAt the core of this simple bumper case from British brand Tech 21 is the firm's patented FlexShock material, which is designed to absorb and dissipate the shockwaves caused by an S7 dropping to the floor.\n\nAs well as helping to avoid a cracked screen, Evo Elite has a scratch-resistant finish, but otherwise leaves the aesthetics of the Galaxy S7 untouched. Available in gold and brushed black.\n\nCan use phone with screen covered\n\nStill need to open the case for some interactions\n\nOnly provides basic protection when open\n\nWho needs a smartwatch? Here's a product that means you don't even have to get the Samsung Galaxy S7 out of its case to receive or refuse calls, check notifications, or snooze an alarm; a left or right swipe on the dot matrix-style display is all that's needed.\n\nOn this official Samsung case you can also view the time, battery life, incoming calls and messages without opening it. It's also Qi wireless charging compatible.\n\nOnly comes in three colors\n\nThis one is for fans of HTC's Dot Matrix cases, which were originally released for the HTC One M series of smartphones. However, Samsung's new LED cases one-up them in the style department. These cases are more professional looking, but allow you the same level of gesture-controlled access, all without opening up the case.\n\nSimilar in many ways to Samsung's Clear View Cover, this arguably tops it thanks to a leather finish and eye-catching LED display.\n\nNot as tough as some OtterBox cases\n\nOtterBox is a big name in tough, rugged smartphone cases, but while its covers are known for being some of the best in the business at keeping your handset safe, they’re not generally thought of as stylish. The Strada series is an exception.\n\nThis case is made of genuine leather, in black, blue or red, with a magnetic metal latch to keep the front flap folded over the screen for full body protection.\n\nAnd speaking of protection, that hasn’t been overly compromised to deliver a stylish finish. This has still been put through the company’s exhaustive tests and has energy-absorbing materials on the inside, to ensure it can survive a drop.\n\nIt’s perhaps not quite as life-proof as the OtterBox Defender, but it’s sleeker, looks better, and even has a handy card slot built-in.\n\nSo the Galaxy S7 isn't stylish enough for you? Adorned with genuine crystal and with a metallic surround, Case-Mate's Brilliance is all about catching the light and making a statement.\n\nActually, there's more to it than that, with an interior layer of plastic adding some impact resistance and shock dispersion; we'll drink to that.\n\nWhile not the most appealing case out there, Samsung's Backpack combines an external battery and case into one. The case itself is stocked with a 3,400mAh battery that will kick in when the Galaxy S7 depletes.\n\nIt also supports wireless charging, and when it's on the cradle, it intelligently prioritizes charging the device back to good health before taking a sip of electricity for itself.\n\nThese are ordered by price at the time of writing - however, some variation may occur over time!",
      "summary": {
        "sentences": [
          "If the crop of Samsung Galaxy S7 cases is anything to go by, transparent bumpers are the clear winner.",
          "A SlickWraps Carbon Fiber Skin won't give your Galaxy S7 much drop protection, so if you're accident-prone this isn't the case for you, but it will help protect the phone from scratches, which is especially handy if you keep your handset in a bag or pocket with keys or other jagged belongings.",
          "Here's another spartan case designed to make the best of the Galaxy S7's sleek look, but the Ghostek Cloak Tough – as its name suggests – has a hard-as-nails aluminum structure inside that surrounds the phone, defending against drops.",
          "When you're dealing with a phone as beautiful as the Samsung Galaxy S7, usually even the most stylish cases make it slightly uglier, but there's an argument to be made for the Carved Special Edition Engraved series actually improving its looks.",
          "The Galaxy S7 Keyboard case, which is exactly like the one introduced at the Samsung Galaxy Note 5 launch, snaps onto the bottom of the phone and is every frantic texter's dream."
        ]
      },
      "source": {
        "id": 60,
        "name": "TechRadar",
        "title": "TechRadar",
        "description": "Technology news, reviews, buyer's guides and videos.",
        "links_in_count": 17766,
        "home_page_url": "http://www.techradar.com/",
        "domain": "techradar.com",
        "logo_url": "http://assets.futurecdn.net/img/future-tag.png",
        "locations": [],
        "scopes": [],
        "rankings": {
          "alexa": [
            {
              "rank": 982,
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 493,
              "country": "IN",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1230,
              "country": "ID",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1474,
              "country": "EG",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 489,
              "country": "SG",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 649,
              "country": "BD",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 2408,
              "country": "TR",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 812,
              "country": "MY",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 7029,
              "country": "RU",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 741,
              "country": "PH",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1691,
              "country": "ES",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1514,
              "country": "AZ",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 587,
              "country": "PK",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 775,
              "country": "US",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 817,
              "country": "HK",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 956,
              "country": "RO",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 476,
              "country": "IE",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 2034,
              "country": "IR",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 549,
              "country": "AU",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1057,
              "country": "SA",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 2170,
              "country": "PL",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 701,
              "country": "CH",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 733,
              "country": "NG",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 894,
              "country": "SE",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 233,
              "country": "GB",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 2028,
              "country": "FR",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1693,
              "country": "KR",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 3006,
              "country": "BR",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1615,
              "country": "IT",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 887,
              "country": "GR",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 649,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1238,
              "country": "NL",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 761,
              "country": "CA",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 12514,
              "country": "CN",
              "fetched_at": "2016-08-22T16:47:00Z"
            },
            {
              "rank": 1824,
              "country": "DE",
              "fetched_at": "2016-08-22T16:47:00Z"
            }
          ]
        }
      },
      "author": {
        "id": 5694,
        "name": "Jamie Carter"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung Galaxy S7",
            "types": [
              "product"
            ],
            "indices": [
              [
                5,
                21
              ]
            ]
          },
          {
            "text": "Best Samsung Galaxy",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                0,
                18
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Samsung Galaxy Note",
            "score": 0.99999994235168,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_Note_series"
            },
            "indices": [
              [
                6985,
                7003
              ]
            ]
          },
          {
            "text": "HTC One",
            "score": 1,
            "types": [
              "Device",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/HTC_One_(2013)"
            },
            "indices": [
              [
                8288,
                8294
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.999557640181745,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                34,
                40
              ],
              [
                504,
                510
              ],
              [
                571,
                577
              ],
              [
                1125,
                1131
              ],
              [
                1867,
                1873
              ],
              [
                2079,
                2085
              ],
              [
                4669,
                4675
              ],
              [
                5344,
                5350
              ],
              [
                6076,
                6082
              ],
              [
                6635,
                6641
              ],
              [
                6873,
                6879
              ],
              [
                6985,
                6991
              ],
              [
                7829,
                7835
              ],
              [
                8026,
                8032
              ],
              [
                8330,
                8336
              ],
              [
                8551,
                8557
              ],
              [
                9857,
                9863
              ]
            ]
          },
          {
            "text": "HTC",
            "score": 1,
            "types": [
              "Company",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/HTC"
            },
            "indices": [
              [
                8225,
                8227
              ],
              [
                8288,
                8290
              ]
            ]
          },
          {
            "text": "Griffin",
            "types": [
              "Place"
            ],
            "indices": [
              [
                1622,
                1628
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "product",
              "Organisation"
            ],
            "indices": [
              [
                34,
                47
              ],
              [
                504,
                517
              ],
              [
                1125,
                1138
              ],
              [
                1867,
                1880
              ],
              [
                2079,
                2092
              ],
              [
                5344,
                5357
              ],
              [
                6635,
                6648
              ],
              [
                6985,
                6998
              ],
              [
                7829,
                7842
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S7.",
            "types": [
              "product"
            ],
            "indices": []
          },
          {
            "text": "Samsung Galaxy S7",
            "types": [
              "product"
            ],
            "indices": [
              [
                34,
                50
              ],
              [
                504,
                520
              ],
              [
                1125,
                1141
              ],
              [
                1867,
                1883
              ],
              [
                2079,
                2095
              ],
              [
                5344,
                5360
              ],
              [
                6635,
                6651
              ],
              [
                7829,
                7845
              ]
            ]
          },
          {
            "text": "HTC One M",
            "types": [
              "product"
            ],
            "indices": [
              [
                8288,
                8296
              ]
            ]
          },
          {
            "text": "Crystal Mixx",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                1217,
                1228
              ],
              [
                1485,
                1496
              ]
            ]
          },
          {
            "text": "SlickWraps Carbon Fiber Skin",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                2768,
                2795
              ]
            ]
          },
          {
            "text": "UV",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                4038,
                4039
              ]
            ]
          },
          {
            "text": "Samsung's",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                4669,
                4677
              ],
              [
                6076,
                6084
              ],
              [
                8330,
                8338
              ],
              [
                8551,
                8559
              ],
              [
                9857,
                9865
              ]
            ]
          },
          {
            "text": "Samsung's S View",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                6076,
                6091
              ]
            ]
          },
          {
            "text": "LED",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                8344,
                8346
              ],
              [
                8645,
                8647
              ]
            ]
          },
          {
            "text": "Samsung's Clear View Cover",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                8551,
                8576
              ]
            ]
          },
          {
            "text": "Samsung's Backpack",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                9857,
                9874
              ]
            ]
          }
        ]
      },
      "keywords": [
        "cases",
        "Samsung",
        "Galaxy",
        "Samsung case",
        "case",
        "Samsung Galaxy",
        "phones",
        "drops",
        "finish",
        "black",
        "screen",
        "protective",
        "color",
        "Tech 21",
        "dispersion",
        "smartphones",
        "toughness",
        "Samsung Galaxy Note",
        "sip",
        "QWERTY",
        "smartwatch",
        "department",
        "HTC One",
        "S7",
        "geometry",
        "wireless charging",
        "Qi",
        "HTC",
        "Napa"
      ],
      "hashtags": [
        "#S7Airlines",
        "#Samsung",
        "#Smartphone",
        "#Dispersion",
        "#Centrino",
        "#Smartwatch",
        "#Qi",
        "#Toughness",
        "#InductiveCharging",
        "#Ministry",
        "#Geometry",
        "#HTC",
        "#SamsungGalaxyNoteSeries",
        "#SessionInitiationProtocol",
        "#Tech21",
        "#HTCOne",
        "#QWERTY"
      ],
      "characters_count": 10301,
      "words_count": 1841,
      "sentences_count": 84,
      "paragraphs_count": 54,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.2963537403699236,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.13058479262037512,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 0.9999067007960275,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T14:20:06Z"
          }
        ],
        "google_plus": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T13:11:35Z"
          }
        ],
        "linkedin": [
          {
            "count": 32,
            "fetched_at": "2016-12-22T13:11:35Z"
          }
        ],
        "reddit": []
      },
      "media": [
        {
          "type": "image",
          "url": "http://cdn.mos.cms.futurecdn.net/6f39aae5e88863c9dd83ff4ceeacda6c-1200-80.jpg",
          "format": "JPEG",
          "content_length": 46122,
          "width": 1200,
          "height": 675
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "positive",
          "score": 0.892108
        },
        "body": {
          "polarity": "positive",
          "score": 0.976253
        }
      },
      "language": "en",
      "published_at": "2016-12-22T12:18:21Z",
      "links": {
        "permalink": "http://feedproxy.google.com/~r/techradar/allnews/~3/cLTFMwos3o4/best-samsung-galaxy-s7-cases-1315704",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30254554",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30254554"
      }
    },
    {
      "id": 30237432,
      "title": "Samsung VN's export revenues to increase 7% despite Note 7 incident",
      "body": "Exports revenues from the two plants of Samsung Electronics Viet Nam (SEV) in Bac Ninh Province and Samsung Electronics Viet Nam – Thai Nguyen (SEVT) in Thai Nguyen Province were estimated to reach US$35 billion this year, posting a 7 per cent year-on-year increase despite the impact from this year’s Note 7 incident.\n\nProduction line of Samsung Electronics Viet Nam in the northern province of Bac Ninh. Samsung’s export revenues this year are estimated to increase 7 per cent despite the Note 7 incident.\n\nSamsung’s fourth quarter financial report revealed that Note 7 incident had an insignificant short term impact on Samsung Vietnam’s business and export turnover in 2016.\n\nAccording to its third quarter financial report announced on September 30th, Samsung Electronics Viet Nam in Bac Ninh reported a 30 per cent decline in revenue, equivalent to more than VNĐ32 trillion against the previous quarter.\n\nSamsung’s representative yesterday told Viet Nam News that it has suffered a short-term impact from the Note 7 incident. Samsung Electronics Viet Nam (SEV) – the main Note 7 production unit bore the brunt of the impact.\n\n“Shorty after we decided to stop producing the Note 7 and adjust the production line, the production and business performance returned to normal and we witnessed a rapid recovery. SEV and SEVT are producing a wide range of products including S7, S7 Edge, Galaxy A, Galaxy J, as well as Tablet models, in addition to the Note 7,” he added.\n\nSamsung Electronics HCM City CE Complex (SEHC) also expected export revenue of $1.4 billion this year, increasing 180 per cent from last year. SEHC became operational in June with total investment of $2 billion. The complex has focused on research and development as well as production of high-end TVs, washing machines, refrigerators and air conditioners.\n\nLee Sangsu, SEHC’s general director said the project became one of Samsung’s four biggest consumer electronics production plants worldwide. The project has been one of the most important factories in Samsung’s global TV supply chain.\n\nTotal export turnover of Samsung Electronics in Vietnam, including the three factories, was estimated at $36.4 billion, or a 9.3 per cent increase from last year.\n\nBy the middle of this month, the country’s total export revenue was $167.83 billion. Of which, mobile phones and spare parts took the lead in terms of export revenue at $33 billion. The products’ export revenue for the whole year was expected to reach $35 billion, accounting for 20 per cent of the country’s total export revenue.\n\nSamsung Viet Nam in October announced the recall of its Galaxy Note7 smartphone after reports of the device catching fire while charging. As one of Samsung’s biggest production centres, Viet Nam was expected to be affected by the massive recall as the country has supplied around 35 per cent of the producer’s mobile phones around the world.",
      "summary": {
        "sentences": [
          "Exports revenues from the two plants of Samsung Electronics Viet Nam (SEV) in Bac Ninh Province and Samsung Electronics Viet Nam – Thai Nguyen (SEVT) in Thai Nguyen Province were estimated to reach US$35 billion this year, posting a 7 per cent year-on-year increase despite the impact from this year’s Note 7 incident.",
          "Samsung’s export revenues this year are estimated to increase 7 per cent despite the Note 7 incident.",
          "According to its third quarter financial report announced on September 30th, Samsung Electronics Viet Nam in Bac Ninh reported a 30 per cent decline in revenue, equivalent to more than VNĐ32 trillion against the previous quarter.",
          "Samsung Electronics Viet Nam (SEV) – the main Note 7 production unit bore the brunt of the impact.",
          "Samsung Electronics HCM City CE Complex (SEHC) also expected export revenue of $1.4 billion this year, increasing 180 per cent from last year."
        ]
      },
      "source": {
        "id": 307,
        "name": "Vietnam Net",
        "title": "VietNamNet Bridge",
        "description": "The English language section of a newspaper; with articles and a photo gallery.",
        "links_in_count": 8548,
        "home_page_url": "http://english.vietnamnet.vn/",
        "domain": "vietnamnet.vn",
        "locations": [
          {
            "country": "VN"
          }
        ],
        "scopes": [
          {
            "country": "VN",
            "level": "national"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 4535,
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 33,
              "country": "VN",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 2263,
              "country": "SG",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 17339,
              "country": "RU",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 6101,
              "country": "TW",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 16811,
              "country": "US",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 3878,
              "country": "AU",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 22490,
              "country": "GB",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 14702,
              "country": "FR",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 11960,
              "country": "KR",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 8480,
              "country": "CA",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 23317,
              "country": "JP",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 25606,
              "country": "CN",
              "fetched_at": "2016-08-22T16:48:08Z"
            },
            {
              "rank": 23574,
              "country": "DE",
              "fetched_at": "2016-08-22T16:48:08Z"
            }
          ]
        }
      },
      "author": {
        "id": 59001,
        "name": "Vietnamnet.vn"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung",
            "score": 0.9241966479310297,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                0,
                6
              ]
            ]
          },
          {
            "text": "Samsung VN",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                0,
                9
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Samsung Electronics",
            "score": 0.9994081084776563,
            "types": [
              "Company",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Electronics"
            },
            "indices": [
              [
                40,
                58
              ],
              [
                100,
                118
              ],
              [
                339,
                357
              ],
              [
                757,
                775
              ],
              [
                1032,
                1050
              ],
              [
                1472,
                1490
              ],
              [
                2090,
                2108
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.661016401628444,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Electronics"
            },
            "indices": [
              [
                40,
                46
              ],
              [
                100,
                106
              ],
              [
                339,
                345
              ],
              [
                406,
                412
              ],
              [
                509,
                515
              ],
              [
                623,
                629
              ],
              [
                757,
                763
              ],
              [
                911,
                917
              ],
              [
                1032,
                1038
              ],
              [
                1472,
                1478
              ],
              [
                1897,
                1903
              ],
              [
                2030,
                2036
              ],
              [
                2090,
                2096
              ],
              [
                2561,
                2567
              ],
              [
                2709,
                2715
              ]
            ]
          },
          {
            "text": "Vietnam",
            "score": 0.9999995263457306,
            "types": [
              "Country",
              "Place"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Vietnam"
            },
            "indices": [
              [
                631,
                637
              ],
              [
                2113,
                2119
              ]
            ]
          },
          {
            "text": "catching fire",
            "score": 1,
            "types": [
              "Book",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Catching_Fire"
            },
            "indices": [
              [
                2669,
                2681
              ]
            ]
          },
          {
            "text": "Thai",
            "score": 0.9999302615363704,
            "types": [
              "Country"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Thailand"
            },
            "indices": [
              [
                131,
                134
              ],
              [
                153,
                156
              ]
            ]
          },
          {
            "text": "Galaxy A",
            "types": [
              "Person"
            ],
            "indices": [
              [
                1387,
                1394
              ]
            ]
          },
          {
            "text": "Galaxy J",
            "types": [
              "Person"
            ],
            "indices": [
              [
                1397,
                1404
              ]
            ]
          },
          {
            "text": "Lee Sangsu",
            "types": [
              "Person"
            ],
            "indices": [
              [
                1830,
                1839
              ]
            ]
          },
          {
            "text": "Samsung Electronics Viet Nam",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                40,
                67
              ],
              [
                100,
                127
              ],
              [
                339,
                366
              ],
              [
                757,
                784
              ],
              [
                1032,
                1059
              ]
            ]
          },
          {
            "text": "Samsung Vietnam’s",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                623,
                639
              ]
            ]
          },
          {
            "text": "Viet Nam News",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                951,
                963
              ]
            ]
          },
          {
            "text": "Samsung Electronics HCM City CE Complex",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                1472,
                1510
              ]
            ]
          },
          {
            "text": "SEHC",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                1513,
                1516
              ],
              [
                1615,
                1618
              ],
              [
                1842,
                1845
              ]
            ]
          },
          {
            "text": "Samsung Viet Nam",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                2561,
                2576
              ]
            ]
          }
        ]
      },
      "keywords": [
        "revenues",
        "Note",
        "export",
        "incident",
        "Samsung",
        "Samsung Electronics",
        "electronics production",
        "Exports revenues",
        "Total export",
        "Production",
        "Exports",
        "Viet",
        "cent",
        "Electronics",
        "total",
        "Edge",
        "Bac Ninh Province",
        "S7",
        "Vietnam",
        "supply chain",
        "US$",
        "catching fire",
        "Thai"
      ],
      "hashtags": [
        "#SamsungElectronics",
        "#Vietnam",
        "#Thailand",
        "#UnitedStatesDollar",
        "#Edge",
        "#CatchingFire",
        "#SupplyChain",
        "#S7Airlines",
        "#BắcNinhProvince"
      ],
      "characters_count": 2902,
      "words_count": 493,
      "sentences_count": 20,
      "paragraphs_count": 11,
      "categories": [
        {
          "id": "IAB3-5",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.16417648259631934,
          "confident": false,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB3-5",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB3"
          }
        },
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.14518598460981955,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB13-11",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.12930872794249237,
          "confident": false,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB13-11",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB13"
          }
        },
        {
          "id": "IAB3",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.0873802829043207,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB3"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.07456462588937501,
          "confident": false,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB13",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.0731800054765498,
          "confident": false,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB13"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 1,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T15:02:08Z"
          }
        ],
        "google_plus": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T13:04:17Z"
          }
        ],
        "linkedin": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T13:04:17Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T11:07:04Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "http://img.cdn2.vietnamnet.vn/Images/english/2016/12/22/14/20161222143229-1.jpg",
          "format": "JPEG",
          "width": 480,
          "height": 360
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.800626
        },
        "body": {
          "polarity": "neutral",
          "score": 1
        }
      },
      "language": "en",
      "published_at": "2016-12-22T08:30:55Z",
      "links": {
        "permalink": "http://english.vietnamnet.vn/fms/business/169945/samsung-vn-s-export-revenues-to-increase-7--despite-note-7-incident.html",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30237432",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30237432"
      }
    },
    {
      "id": 30227059,
      "title": "Christmas Deals On VR: Samsung Gear, HTC Vive, Oculus Rift, PSVR, Google Daydream",
      "body": "The year 2016 saw the debut of virtual reality headsets from several tech giants like HTC, Google and Sony. It also witnessed the emergence of new content in the VR space such as PlayStation VR (PSVR) games and Netflix VR videos.\n\nIn case you missed your chances of buying a VR headset during Black Friday and Cyber Monday, you can still grab one with a holiday season deal. We have prepared a list of some of the best offers on leading VR headsets:\n\nThe device, which made its debut alongside the Google Pixel on Oct. 4, works with Pixel series devices and supports VR videos and games. It is available from Amazon currently at a price of $143.97 including free shipping.\n\nOne of the earliest players in the VR industry, Oculus has made its Rift headset more enticing for gamers with its Touch controllers' recent launch. The Oculus Rift bundle including the Oculus Rift VR headset, Oculus Touch controllers and Oculus Rift earphones is now available for $1,149 at a $150 discount.\n\nThe Samsung Gear VR is currently available for free along with $50 worth of Oculus content on the purchase of the Galaxy S7 and S7 Edge.\n\nYou won't get discounts on the HTC Vive headsets, but you can still avail some offers and discounts on VR games via the company's Viveport store.\n\nThe PSVR bundle including PSVR headset, PlayStation Camera, PlayStation Move motion controllers and PlayStation VR Worlds game disc is available at $40 discount for $459.99 at GameStop.\n\nIn addition to these deals, the Microsoft Store is offering $100 gift cards on the purchase of HTC Vive or Oculus Rift. The card will be sent by Microsoft seven days after the purchase.",
      "summary": {
        "sentences": [
          "We have prepared a list of some of the best offers on leading VR headsets:\n\nThe device, which made its debut alongside the Google Pixel on Oct. 4, works with Pixel series devices and supports VR videos and games.",
          "One of the earliest players in the VR industry, Oculus has made its Rift headset more enticing for gamers with its Touch controllers' recent launch.",
          "The Oculus Rift bundle including the Oculus Rift VR headset, Oculus Touch controllers and Oculus Rift earphones is now available for $1,149 at a $150 discount.",
          "You won't get discounts on the HTC Vive headsets, but you can still avail some offers and discounts on VR games via the company's Viveport store.",
          "The PSVR bundle including PSVR headset, PlayStation Camera, PlayStation Move motion controllers and PlayStation VR Worlds game disc is available at $40 discount for $459.99 at GameStop."
        ]
      },
      "source": {
        "id": 393,
        "name": "International Business Times - US",
        "title": "International Business Times",
        "description": "World business and financial news.",
        "links_in_count": 34707,
        "home_page_url": "http://www.ibtimes.com/",
        "domain": "ibtimes.com",
        "locations": [
          {
            "country": "US"
          }
        ],
        "scopes": [
          {
            "country": "US",
            "level": "national"
          },
          {
            "level": "international"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 2733,
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2383,
              "country": "IN",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4665,
              "country": "ID",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1555,
              "country": "SG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2603,
              "country": "MY",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6555,
              "country": "ES",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2040,
              "country": "PK",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1109,
              "country": "US",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1825,
              "country": "IE",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2325,
              "country": "AU",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2546,
              "country": "CH",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 976,
              "country": "NG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1771,
              "country": "GB",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6019,
              "country": "FR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4557,
              "country": "KR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 7211,
              "country": "BR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 487,
              "country": "IT",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2019,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1723,
              "country": "CA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 19414,
              "country": "JP",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 5571,
              "country": "DE",
              "fetched_at": "2016-08-22T16:48:32Z"
            }
          ]
        }
      },
      "author": {
        "id": 632805,
        "name": "Rishabh Jain"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung Gear",
            "score": 1,
            "types": [
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Gear"
            },
            "indices": [
              [
                23,
                34
              ]
            ]
          },
          {
            "text": "Daydream",
            "score": 0.8611044421272115,
            "types": [
              "Album",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Daydream_(Mariah_Carey_album)"
            },
            "indices": [
              [
                73,
                80
              ]
            ]
          },
          {
            "text": "Oculus Rift",
            "score": 1,
            "types": [
              "Species"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Oculus_Rift"
            },
            "indices": [
              [
                47,
                57
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Sony",
            "score": 0.9999997900306646,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Sony"
            },
            "indices": [
              [
                102,
                105
              ]
            ]
          },
          {
            "text": "PlayStation Move",
            "score": 1,
            "types": [
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/PlayStation_Move"
            },
            "indices": [
              [
                1329,
                1344
              ]
            ]
          },
          {
            "text": "Microsoft Store",
            "score": 1,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Microsoft_Store"
            },
            "indices": [
              [
                1488,
                1502
              ]
            ]
          },
          {
            "text": "Samsung Gear VR",
            "score": 1,
            "types": [
              "Species",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Gear_VR"
            },
            "indices": [
              [
                988,
                1002
              ]
            ]
          },
          {
            "text": "PSVR",
            "score": 1,
            "types": [
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/PlayStation_VR"
            },
            "indices": [
              [
                195,
                198
              ],
              [
                1273,
                1276
              ],
              [
                1295,
                1298
              ]
            ]
          },
          {
            "text": "PlayStation Camera",
            "score": 1,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/PlayStation_4"
            },
            "indices": [
              [
                1309,
                1326
              ]
            ]
          },
          {
            "text": "Black Friday",
            "score": 0.9995978390056812,
            "types": [
              "Holiday"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Black_Friday_(shopping)"
            },
            "indices": [
              [
                293,
                304
              ]
            ]
          },
          {
            "text": "Cyber Monday",
            "score": 1,
            "types": [
              "Holiday"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Cyber_Monday"
            },
            "indices": [
              [
                310,
                321
              ]
            ]
          },
          {
            "text": "Microsoft",
            "score": 0.9999999559997842,
            "types": [
              "Company",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Microsoft"
            },
            "indices": [
              [
                1488,
                1496
              ],
              [
                1601,
                1609
              ]
            ]
          },
          {
            "text": "HTC Vive",
            "score": 1,
            "types": [
              "product",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/HTC_Vive"
            },
            "indices": [
              [
                1153,
                1160
              ],
              [
                1551,
                1558
              ]
            ]
          },
          {
            "text": "Netflix",
            "score": 1,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Netflix"
            },
            "indices": [
              [
                211,
                217
              ]
            ]
          },
          {
            "text": "HTC",
            "score": 1,
            "types": [
              "Company",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/HTC"
            },
            "indices": [
              [
                86,
                88
              ],
              [
                1153,
                1155
              ],
              [
                1551,
                1553
              ]
            ]
          },
          {
            "text": "Oculus Rift",
            "score": 1,
            "types": [
              "Species"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Oculus_Rift"
            },
            "indices": [
              [
                827,
                837
              ],
              [
                860,
                870
              ],
              [
                913,
                923
              ],
              [
                1563,
                1573
              ]
            ]
          },
          {
            "text": "GameStop",
            "score": 1,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/GameStop"
            },
            "indices": [
              [
                1445,
                1452
              ]
            ]
          },
          {
            "text": "Google Pixel",
            "types": [
              "product"
            ],
            "indices": [
              [
                498,
                509
              ]
            ]
          },
          {
            "text": "PlayStation",
            "types": [
              "product"
            ],
            "indices": [
              [
                179,
                189
              ],
              [
                1309,
                1319
              ],
              [
                1329,
                1339
              ],
              [
                1369,
                1379
              ]
            ]
          },
          {
            "text": "VR",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                162,
                163
              ],
              [
                191,
                192
              ],
              [
                219,
                220
              ],
              [
                275,
                276
              ],
              [
                437,
                438
              ],
              [
                567,
                568
              ],
              [
                709,
                710
              ],
              [
                872,
                873
              ],
              [
                1001,
                1002
              ],
              [
                1225,
                1226
              ],
              [
                1381,
                1382
              ]
            ]
          },
          {
            "text": "VR Worlds",
            "types": [
              "Organisation"
            ],
            "indices": []
          }
        ]
      },
      "keywords": [
        "Vive",
        "Oculus",
        "Rift",
        "Gear",
        "PSVR",
        "Samsung",
        "Google",
        "Deals",
        "Christmas",
        "Daydream",
        "Samsung Gear",
        "HTC Vive",
        "Oculus Rift",
        "headsets",
        "games",
        "discount",
        "deal",
        "free",
        "content",
        "PlayStation",
        "purchase",
        "offers",
        "videos",
        "device",
        "debut",
        "virtual reality",
        "Sony",
        "PlayStation Move",
        "Microsoft Store",
        "Samsung Gear VR",
        "Edge",
        "PlayStation VR",
        "PlayStation Camera",
        "S7",
        "Black Friday",
        "Cyber Monday",
        "Microsoft",
        "motion controllers",
        "Netflix",
        "HTC",
        "GameStop"
      ],
      "hashtags": [
        "#PlayStationVR",
        "#OculusRift",
        "#PSVR",
        "#HTCVive",
        "#SamsungGearVR",
        "#PlayStationMove",
        "#Edge",
        "#SamsungGear",
        "#Daydream",
        "#HTC",
        "#VirtualReality",
        "#Netflix",
        "#Microsoft",
        "#PlayStation4",
        "#MotionController",
        "#GameStop",
        "#S7Airlines",
        "#Sony",
        "#CyberMonday",
        "#BlackFriday",
        "#MicrosoftStore"
      ],
      "characters_count": 1641,
      "words_count": 290,
      "sentences_count": 12,
      "paragraphs_count": 8,
      "categories": [
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.08930758557386076,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB9",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.0878131153621266,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB9"
          }
        },
        {
          "id": "IAB19-10",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.06799939923961393,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-10",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB9-25",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.058643373984560876,
          "confident": false,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB9-25",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB9"
          }
        },
        {
          "id": "10001000",
          "taxonomy": "iptc-subjectcode",
          "level": 2,
          "score": 1,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/10001000",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/10000000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:53:17Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T06:56:21Z"
          }
        ],
        "google_plus": [
          {
            "count": 2,
            "fetched_at": "2016-12-22T13:00:17Z"
          },
          {
            "count": 1,
            "fetched_at": "2016-12-22T07:07:55Z"
          }
        ],
        "linkedin": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T13:00:17Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T07:07:55Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T10:55:47Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "http://s1.ibtimes.com/sites/www.ibtimes.com/files/2016/12/21/christmas-vr-deals.jpg",
          "format": "JPEG",
          "content_length": 1468933,
          "width": 3024,
          "height": 2154
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.826523
        },
        "body": {
          "polarity": "positive",
          "score": 0.993902
        }
      },
      "language": "en",
      "published_at": "2016-12-22T05:31:41Z",
      "links": {
        "permalink": "http://www.ibtimes.com/christmas-deals-vr-samsung-gear-htc-vive-oculus-rift-psvr-google-daydream-2463645",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30227059",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30227059"
      }
    },
    {
      "id": 30221163,
      "title": "Samsung Galaxy S6 Edge+ Catches Fire After Being Kept For Overnight Charging, Samsung Offers Replacement",
      "body": "The bad phase for Samsung doesn’t seem to show any signs of coming to an end. In yet another headache for Samsung, a Reddit user has claimed that his Samsung device exploded and went up in flames while the handset was kept on a nightstand for overnight charging. According to 9To5Google, the handset in this particular instance has been identified as an older Samsung Galaxy S6 Edge+. While the model was originally released back in August 2015, it is unclear how old the handset involved in this incident actually was.\n\nIn the Reddit post, the user, only identified by his username ReturnThroughAether wrote;\n“Woke up this morning (yesterday technically. 12/20) just in time to get ready for work and looked over to find my phone has exploded. Luckily I don’t keep it on my bed, as you can see it scorched my night stand. I’ve talked to Samsung and my carrier. The phone had no problems before, no overheating. I think I’m done with Samsung for a while, really gonna miss the photos I had from Africa in the fall. Dammit Samsung, I was still in your corner after the Note 7 stuff too.”\nThe man later updated his post confirming that he was in touch with Samsung regarding the incident. He also went on to add that Samsung is offering a replacement device and compensation for his burnt nightstand. However, Samsung has demanded that the phone be sent to them for evaluation purposes. The owner replied that he was interested in retaining the device as per the suggestion of an attorney who came forward and offered him assistance.\nThe explosion and the fire burnt the nightstand claims the Samsung Galaxy s6 Edge+ owner\nThis is what the updated post read;\n“These are my notes from a phone call that just transpired from Samsung.\nSamsung called. David. Confirming reddit post and events. Probably charged 1-3 hours when it popped. Can offer a replacement if I ship them device, compensation for table. Can only offer a resolution if I send in device and after evaluation. Offered expedited service once it’s in. Call ended with them offering to send a return box to my address and my informing them that I was interested in retaining the device after speaking with an attorney that offered assistance.”\n\nThe news of this Samsung Galaxy S6 Edge+ exploding and catching fire comes barely a week after we reported that Samsung could finally reveal the actual reason behind the multiple cases of explosions and fire that led to the recall and the eventual cancelation of the company’s flagship phablet for 2016 – the Samsung Galaxy Note 7. Samsung had earlier this year promised that they would reveal the cause behind the battery fires once their internal investigation was completed.\nAn image posted by the owner of the burnt Samsung Galaxy S6 Edge+ on image sharing Imgur [Image by ReturnThroughAether/ Imgur]\nThe Samsung Galaxy Note 7 was supposed to be the latest and greatest device from the South Korean smartphone giant. Packed with the latest processors and the best hardware available, it was supposed to be a worthy successor to its predecessor – the Samsung Galaxy Note 5. However, within weeks of its release, there were several reports from people who claimed that the phones were exploding out of the blue. Initially, most dismissed these incidents as one-off cases. However, faced with an ever increasing flow of cases, Samsung finally admitted that the Note 7 had a manufacturing defect with its battery. However, the also added that only a certain batch was affected by the problem and that they would replace all the possibly defective versions with new ones.\nJust when everyone thought the note 7 saga was coming to a close, a second wave of explosions and fire incidents were reported from handsets that were replaced by Samsung. One handset also exploded on board an aircraft following which there was a ban on carrying the Samsung Galaxy Note 7 on board any aircraft in the U.S. Once it became clear that the Samsung Note 7 battery issue was far more widespread than what was initially thought, the company decided to halt the production and take the product off the shelves.\n[Featured image by ReturnThroughAether/ Imgur]",
      "summary": {
        "sentences": [
          "In yet another headache for Samsung, a Reddit user has claimed that his Samsung device exploded and went up in flames while the handset was kept on a nightstand for overnight charging.",
          "The explosion and the fire burnt the nightstand claims the Samsung Galaxy s6 Edge+ owner\nThis is what the updated post read;\n“These are my notes from a phone call that just transpired from Samsung.",
          "The news of this Samsung Galaxy S6 Edge+ exploding and catching fire comes barely a week after we reported that Samsung could finally reveal the actual reason behind the multiple cases of explosions and fire that led to the recall and the eventual cancelation of the company’s flagship phablet for 2016 – the Samsung Galaxy Note 7.",
          "An image posted by the owner of the burnt Samsung Galaxy S6 Edge+ on image sharing Imgur [Image by ReturnThroughAether/ Imgur]\nThe Samsung Galaxy Note 7 was supposed to be the latest and greatest device from the South Korean smartphone giant.",
          "Just when everyone thought the note 7 saga was coming to a close, a second wave of explosions and fire incidents were reported from handsets that were replaced by Samsung."
        ]
      },
      "source": {
        "id": 388,
        "name": "Inquisitr",
        "title": "The Inquisitr | News",
        "description": "Inquisitr is the ultimate platform for news and entertainment writers, with cutting edge technology, personalized support, great resources, and a dedicated team focused on constantly improving the publishing experience for both writers and readers. Inquisitr strives to publish quality articles that are relevant to the daily news cycles.",
        "links_in_count": 29336,
        "home_page_url": "http://www.inquisitr.com/",
        "domain": "inquisitr.com",
        "locations": [
          {
            "country": "US"
          }
        ],
        "scopes": [
          {
            "country": "US",
            "level": "national"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 2938,
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 4331,
              "country": "IN",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 8105,
              "country": "ID",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 1641,
              "country": "PH",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 5178,
              "country": "ES",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 3405,
              "country": "PK",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 934,
              "country": "US",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 2160,
              "country": "AU",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 964,
              "country": "NG",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 2302,
              "country": "GB",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 8276,
              "country": "FR",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 8111,
              "country": "KR",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 10410,
              "country": "IT",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 2454,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 1820,
              "country": "CA",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 37504,
              "country": "CN",
              "fetched_at": "2016-08-22T16:48:30Z"
            },
            {
              "rank": 8223,
              "country": "DE",
              "fetched_at": "2016-08-22T16:48:30Z"
            }
          ]
        }
      },
      "author": {
        "id": 55655,
        "name": "Rahul Srinivas"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung",
            "score": 0.7648299308756636,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Electronics"
            },
            "indices": [
              [
                0,
                6
              ],
              [
                78,
                84
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S6 Edge",
            "score": 1,
            "types": [
              "Device",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_S5"
            },
            "indices": [
              [
                0,
                21
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "product",
              "Organisation"
            ],
            "indices": [
              [
                0,
                13
              ]
            ]
          },
          {
            "text": "Samsung Offers Replacement",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                78,
                103
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Samsung Galaxy Note",
            "score": 0.6205695568251146,
            "types": [
              "InformationAppliance",
              "product",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_Note_series"
            },
            "indices": [
              [
                2513,
                2531
              ],
              [
                2813,
                2831
              ],
              [
                3058,
                3076
              ],
              [
                3842,
                3860
              ]
            ]
          },
          {
            "text": "this morning",
            "score": 0.9998747699176472,
            "types": [
              "TelevisionShow",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/This_Morning_(TV_programme)"
            },
            "indices": [
              [
                619,
                630
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9967301585891166,
            "types": [
              "Company",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Electronics"
            },
            "indices": [
              [
                18,
                24
              ],
              [
                106,
                112
              ],
              [
                150,
                156
              ],
              [
                360,
                366
              ],
              [
                838,
                844
              ],
              [
                934,
                940
              ],
              [
                1022,
                1028
              ],
              [
                1155,
                1161
              ],
              [
                1215,
                1221
              ],
              [
                1308,
                1314
              ],
              [
                1591,
                1597
              ],
              [
                1721,
                1727
              ],
              [
                1730,
                1736
              ],
              [
                2221,
                2227
              ],
              [
                2316,
                2322
              ],
              [
                2513,
                2519
              ],
              [
                2536,
                2542
              ],
              [
                2724,
                2730
              ],
              [
                2813,
                2819
              ],
              [
                3058,
                3064
              ],
              [
                3332,
                3338
              ],
              [
                3738,
                3744
              ],
              [
                3842,
                3848
              ],
              [
                3928,
                3934
              ]
            ]
          },
          {
            "text": "South Korean",
            "score": 0.9999999665101319,
            "types": [
              "Country"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/South_Korea"
            },
            "indices": [
              [
                2894,
                2905
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S6",
            "score": 1,
            "types": [
              "Device",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_S5"
            },
            "indices": [
              [
                360,
                376
              ],
              [
                2221,
                2237
              ],
              [
                2724,
                2740
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S6 Edge",
            "score": 1,
            "types": [
              "Device",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_S5"
            },
            "indices": [
              [
                360,
                381
              ],
              [
                2221,
                2242
              ],
              [
                2724,
                2745
              ]
            ]
          },
          {
            "text": "Africa",
            "types": [
              "Place"
            ],
            "indices": [
              [
                995,
                1000
              ]
            ]
          },
          {
            "text": "Galaxy",
            "types": [
              "Person"
            ],
            "indices": [
              [
                368,
                373
              ],
              [
                1599,
                1604
              ],
              [
                2229,
                2234
              ],
              [
                2521,
                2526
              ],
              [
                2732,
                2737
              ],
              [
                2821,
                2826
              ],
              [
                3066,
                3071
              ],
              [
                3850,
                3855
              ]
            ]
          },
          {
            "text": "David",
            "types": [
              "Person"
            ],
            "indices": [
              [
                1746,
                1750
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "product",
              "Organisation"
            ],
            "indices": [
              [
                360,
                373
              ],
              [
                1591,
                1604
              ],
              [
                2221,
                2234
              ],
              [
                2513,
                2526
              ],
              [
                2724,
                2737
              ],
              [
                2813,
                2826
              ],
              [
                3058,
                3071
              ],
              [
                3842,
                3855
              ]
            ]
          },
          {
            "text": "Samsung Galaxy Note 7",
            "types": [
              "product"
            ],
            "indices": [
              [
                2513,
                2533
              ],
              [
                2813,
                2833
              ],
              [
                3842,
                3862
              ]
            ]
          },
          {
            "text": "Samsung does",
            "types": [
              "Organisation"
            ],
            "indices": []
          },
          {
            "text": "Samsung.",
            "types": [
              "Organisation"
            ],
            "indices": []
          },
          {
            "text": "Samsung Note",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                3928,
                3939
              ]
            ]
          }
        ]
      },
      "keywords": [
        "Samsung",
        "Fire",
        "Catches",
        "Overnight",
        "Charging",
        "Edge",
        "Galaxy",
        "Replacement",
        "Samsung Note",
        "Samsung device",
        "Samsung Galaxy",
        "Note",
        "device",
        "phone",
        "post",
        "incident",
        "fire",
        "handset",
        "explosion",
        "Samsung Galaxy Note",
        "Reddit",
        "reddit",
        "this morning",
        "phablet",
        "South Korean",
        "Imgur",
        "Samsung Galaxy S6"
      ],
      "hashtags": [
        "#SamsungElectronics",
        "#SamsungGalaxyS5",
        "#Imgur",
        "#SamsungGalaxyNoteSeries",
        "#Reddit",
        "#Edge",
        "#SouthKorea",
        "#Phablet",
        "#ThisMorning",
        "#SamsungGalaxyNote5"
      ],
      "characters_count": 4141,
      "words_count": 717,
      "sentences_count": 36,
      "paragraphs_count": 13,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.3166308107723097,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.14024624073049716,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 1,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T14:27:58Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T08:26:58Z"
          }
        ],
        "google_plus": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:58:02Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T07:05:43Z"
          }
        ],
        "linkedin": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:58:02Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T07:05:43Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T10:49:03Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "http://cdn.inquisitr.com/wp-content/uploads/2016/12/Samsung-Galaxy-S6-Edge-Explodes-and-catches-fire-900x440.jpg",
          "format": "JPEG",
          "content_length": 72784,
          "width": 900,
          "height": 440
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.780537
        },
        "body": {
          "polarity": "neutral",
          "score": 1
        }
      },
      "language": "en",
      "published_at": "2016-12-22T03:14:32Z",
      "links": {
        "permalink": "http://feedproxy.google.com/~r/TheInquisitr_tech/~3/QoVnRDfQWSw/",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30221163",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30221163"
      }
    },
    {
      "id": 30217927,
      "title": "Samsung Galaxy S8 Rumor Claims That It Might Come With A Feature Called 'Beast Mode'",
      "body": "It’s been discovered that Samsung has trademarked the term “Beast Mode” in the European Union. This has led to speculations that the South Korean phone maker is planning to add that feature to the Galaxy S8 in 2017.\n\nAlthough Samsung hasn’t revealed the specifications for the Galaxy S8, the handset is rumored to come with Qualcomm’s most powerful processor the Snapdragon 835 or the company’s own next-generation Exynos processor. Both of those chipsets will be built using the 10nm process, the same tech that Apple is believed to be using for the iPhone 8 next year.\n\nQualcomm is also believed to be working alongside Samsung in developing the Snapdragon 835, possibly making the Galaxy S8 the only smartphone capable of taking advantage of the chip’s full potential, according to Inquisitr.\n\nThis is where the rumored Beat Mode feature comes in. Samsung filed an application with the EU to trademark the term earlier this month. Part of the trademark application details that Beast Mode will cover all of Samsung’s devices including smartphones, mobile phones, application software and all of its computers, as pointed out by Forbes.\n\nAlthough there’s no official explanation as to what Beat Mode actually is, rumors indicate that turning on Beast mode on the Galaxy S8 will allow the processor to perform to its maximum power, according to Android Headline. This would be somewhat an extension to Android Nougat’s Performance Mode where users are able to choose from four presets of high performance.\n\nBy turning on Beast Mode on the Galaxy S8, this will also turn off power-saving features. Users will  be trading longer battery life for the best possible performance of the Snapdragon 835 or the new Exynos processor. If this is really what Samsung’s Beast Mode is for, the Galaxy S8 could possibly outperform the iPhone 8. Samsung’s Galaxy smartphones have never outperformed Apple’s iPhones, and Beast Mode appears to be the South Korean manufacturer’s way of finally changing that, as pointed out by BGR.\n\nRight now, Beast Mode on the Galaxy S8 is all speculation. However, it wouldn’t be all too surprising for Samsung to do everything it can to redeem itself from the Galaxy Note 7 disaster.",
      "summary": {
        "sentences": [
          "Although there’s no official explanation as to what Beat Mode actually is, rumors indicate that turning on Beast mode on the Galaxy S8 will allow the processor to perform to its maximum power, according to Android Headline.",
          "By turning on Beast Mode on the Galaxy S8, this will also turn off power-saving features.",
          "If this is really what Samsung’s Beast Mode is for, the Galaxy S8 could possibly outperform the iPhone 8.",
          "Samsung’s Galaxy smartphones have never outperformed Apple’s iPhones, and Beast Mode appears to be the South Korean manufacturer’s way of finally changing that, as pointed out by BGR.",
          "Right now, Beast Mode on the Galaxy S8 is all speculation."
        ]
      },
      "source": {
        "id": 393,
        "name": "International Business Times - US",
        "title": "International Business Times",
        "description": "World business and financial news.",
        "links_in_count": 34707,
        "home_page_url": "http://www.ibtimes.com/",
        "domain": "ibtimes.com",
        "locations": [
          {
            "country": "US"
          }
        ],
        "scopes": [
          {
            "country": "US",
            "level": "national"
          },
          {
            "level": "international"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 2733,
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2383,
              "country": "IN",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4665,
              "country": "ID",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1555,
              "country": "SG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2603,
              "country": "MY",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6555,
              "country": "ES",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2040,
              "country": "PK",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1109,
              "country": "US",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1825,
              "country": "IE",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2325,
              "country": "AU",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2546,
              "country": "CH",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 976,
              "country": "NG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1771,
              "country": "GB",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6019,
              "country": "FR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4557,
              "country": "KR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 7211,
              "country": "BR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 487,
              "country": "IT",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2019,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1723,
              "country": "CA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 19414,
              "country": "JP",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 5571,
              "country": "DE",
              "fetched_at": "2016-08-22T16:48:32Z"
            }
          ]
        }
      },
      "author": {
        "id": 516856,
        "name": "Ken Manbert"
      },
      "entities": {
        "title": [
          {
            "text": "Beast",
            "score": 0.7108588987336735,
            "types": [
              "FictionalCharacter"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Beast_(Disney)"
            },
            "indices": [
              [
                73,
                77
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9431989895291262,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                0,
                6
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S8",
            "types": [
              "product"
            ],
            "indices": [
              [
                0,
                16
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                0,
                13
              ]
            ]
          },
          {
            "text": "Beast Mode",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                73,
                82
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Galaxy Note",
            "score": 0.9999829154473587,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_Note_series"
            },
            "indices": [
              [
                2181,
                2191
              ]
            ]
          },
          {
            "text": "Forbes",
            "score": 0.9999999991355253,
            "types": [
              "Magazine",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Forbes"
            },
            "indices": [
              [
                1131,
                1136
              ]
            ]
          },
          {
            "text": "iPhone",
            "score": 0.9999998188832415,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/IPhone"
            },
            "indices": [
              [
                551,
                556
              ],
              [
                1822,
                1827
              ]
            ]
          },
          {
            "text": "Qualcomm",
            "score": 1,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Qualcomm"
            },
            "indices": [
              [
                324,
                331
              ],
              [
                572,
                579
              ]
            ]
          },
          {
            "text": "Android",
            "score": 0.9999999999997726,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Android_(operating_system)"
            },
            "indices": [
              [
                1346,
                1352
              ],
              [
                1403,
                1409
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.7313228570004761,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                26,
                32
              ],
              [
                226,
                232
              ],
              [
                622,
                628
              ],
              [
                851,
                857
              ],
              [
                1010,
                1016
              ],
              [
                1749,
                1755
              ],
              [
                1832,
                1838
              ],
              [
                2123,
                2129
              ]
            ]
          },
          {
            "text": "South Korean",
            "score": 0.9999991482560734,
            "types": [
              "Country"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/South_Korea"
            },
            "indices": [
              [
                133,
                144
              ],
              [
                1935,
                1946
              ]
            ]
          },
          {
            "text": "S8",
            "score": 0.9925693744499344,
            "types": [
              "Automobile",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Audi_A8"
            },
            "indices": [
              [
                204,
                205
              ],
              [
                284,
                285
              ],
              [
                691,
                692
              ],
              [
                1272,
                1273
              ],
              [
                1547,
                1548
              ],
              [
                1789,
                1790
              ],
              [
                2053,
                2054
              ]
            ]
          },
          {
            "text": "European Union",
            "score": 0.9999999955050498,
            "types": [
              "Species",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/European_Union"
            },
            "indices": [
              [
                79,
                92
              ]
            ]
          },
          {
            "text": "Apple",
            "score": 0.9999999999938609,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Apple_Inc."
            },
            "indices": [
              [
                513,
                517
              ],
              [
                1885,
                1889
              ]
            ]
          },
          {
            "text": "Samsung’s",
            "types": [
              "Place"
            ],
            "indices": [
              [
                1010,
                1018
              ],
              [
                1749,
                1757
              ],
              [
                1832,
                1840
              ]
            ]
          },
          {
            "text": "EU",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                889,
                890
              ]
            ]
          },
          {
            "text": "Beast",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                60,
                64
              ],
              [
                981,
                985
              ],
              [
                1247,
                1251
              ],
              [
                1522,
                1526
              ],
              [
                1759,
                1763
              ],
              [
                1906,
                1910
              ],
              [
                2028,
                2032
              ]
            ]
          },
          {
            "text": "Android Nougat’s Performance Mode",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                1403,
                1435
              ]
            ]
          },
          {
            "text": "Beast Mode",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                60,
                69
              ],
              [
                981,
                990
              ],
              [
                1522,
                1531
              ],
              [
                1759,
                1768
              ],
              [
                1906,
                1915
              ],
              [
                2028,
                2037
              ]
            ]
          }
        ]
      },
      "keywords": [
        "Claims",
        "Rumor",
        "Feature",
        "Galaxy",
        "Beast",
        "Mode",
        "Samsung",
        "Beast Mode",
        "Beat Mode",
        "processor",
        "application",
        "smartphone",
        "feature",
        "Snapdragon",
        "Beat",
        "Performance",
        "phone",
        "Apple",
        "smartphones",
        "Galaxy Note",
        "Exynos",
        "Forbes",
        "iPhone",
        "Qualcomm",
        "Android",
        "South Korean",
        "S8",
        "application software",
        "European Union"
      ],
      "hashtags": [
        "#Samsung",
        "#AudiA8",
        "#QualcommSnapdragon",
        "#Smartphone",
        "#SouthKorea",
        "#Qualcomm",
        "#Android",
        "#AppleInc",
        "#Exynos",
        "#EuropeanUnion",
        "#SamsungGalaxyNoteSeries",
        "#IPhone",
        "#Forbes",
        "#ApplicationSoftware"
      ],
      "characters_count": 2204,
      "words_count": 378,
      "sentences_count": 16,
      "paragraphs_count": 7,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.23365316978219935,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.1715471876305608,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 1,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 2,
            "fetched_at": "2016-12-22T12:50:15Z"
          },
          {
            "count": 1,
            "fetched_at": "2016-12-22T07:52:43Z"
          }
        ],
        "google_plus": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:56:52Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T07:04:34Z"
          }
        ],
        "linkedin": [
          {
            "count": 95,
            "fetched_at": "2016-12-22T12:56:52Z"
          },
          {
            "count": 76,
            "fetched_at": "2016-12-22T07:04:34Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T10:45:31Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "http://s1.ibtimes.com/sites/www.ibtimes.com/files/2016/12/21/samsung-galaxy-s7.jpg",
          "format": "JPEG",
          "content_length": 140741,
          "width": 1024,
          "height": 690
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.771332
        },
        "body": {
          "polarity": "neutral",
          "score": 1
        }
      },
      "language": "en",
      "published_at": "2016-12-22T01:56:54Z",
      "links": {
        "permalink": "http://www.ibtimes.com/samsung-galaxy-s8-rumor-claims-it-might-come-feature-called-beast-mode-2464018",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30217927",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30217927"
      }
    },
    {
      "id": 30206256,
      "title": "Android 7.0 Nougat Update: Samsung Galaxy S7 In Australia Won’t Get Version 7.1.1",
      "body": "Samsung has indicated plans to update the Galaxy S7 directed to Android 7.1.1 Nougat upon its official availability. However, this directive won’t apply for all models. New reports indicate the Galaxy S7 for Australian carrier Vodafone will update to the Android 7.0 Nougat system version.\n\nReports from last week indicated Vodafone is currently testing the Galaxy S7 and Galaxy S7 Edge for Android Nougat. Now more recent details from the carrier confirm that Samsung will roll out Android 7.1.1 to S7 handsets in other markets, but Vodafone’s models will get Android 7.0. There is no word on why Vodafone has decided on this option. However, with the Android Nougat software already with the carrier, it could mean a speedier update for those Galaxy S7 models.\n\nCurrently, Samsung is running its fourth version of Android Nougat beta software on the Galaxy S7. The software includes a number of tweaks specific to Samsung devices. The Galaxy S7 and Galaxy S7 Edge could begin updating to Android Nougat as early as mid-December for some models. Most models are expected to update in early 2017.\n\nThe Samsung Galaxy S7 features a 5.1-inch (S7 Edge, 5.5-inch dual-curved) Quad HD display, a Qualcomm Snapdragon 820, a 4GB of RAM and 32GB or 64GB internal storage options with expandable storage up to 256GB, a 12-megapixel rear camera and 5-megapixel front camera, both with f/1.7 aperture and a 3,000mAh battery (S7 Edge, 3,600mAh).",
      "summary": {
        "sentences": [
          "New reports indicate the Galaxy S7 for Australian carrier Vodafone will update to the Android 7.0 Nougat system version.",
          "Reports from last week indicated Vodafone is currently testing the Galaxy S7 and Galaxy S7 Edge for Android Nougat.",
          "However, with the Android Nougat software already with the carrier, it could mean a speedier update for those Galaxy S7 models.",
          "Currently, Samsung is running its fourth version of Android Nougat beta software on the Galaxy S7.",
          "The Galaxy S7 and Galaxy S7 Edge could begin updating to Android Nougat as early as mid-December for some models."
        ]
      },
      "source": {
        "id": 393,
        "name": "International Business Times - US",
        "title": "International Business Times",
        "description": "World business and financial news.",
        "links_in_count": 34707,
        "home_page_url": "http://www.ibtimes.com/",
        "domain": "ibtimes.com",
        "locations": [
          {
            "country": "US"
          }
        ],
        "scopes": [
          {
            "country": "US",
            "level": "national"
          },
          {
            "level": "international"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 2733,
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2383,
              "country": "IN",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4665,
              "country": "ID",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1555,
              "country": "SG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2603,
              "country": "MY",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6555,
              "country": "ES",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2040,
              "country": "PK",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1109,
              "country": "US",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1825,
              "country": "IE",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2325,
              "country": "AU",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2546,
              "country": "CH",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 976,
              "country": "NG",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1771,
              "country": "GB",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 6019,
              "country": "FR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 4557,
              "country": "KR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 7211,
              "country": "BR",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 487,
              "country": "IT",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 2019,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 1723,
              "country": "CA",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 19414,
              "country": "JP",
              "fetched_at": "2016-08-22T16:48:32Z"
            },
            {
              "rank": 5571,
              "country": "DE",
              "fetched_at": "2016-08-22T16:48:32Z"
            }
          ]
        }
      },
      "author": {
        "id": 499973,
        "name": "Fionna Agomuoh"
      },
      "entities": {
        "title": [
          {
            "text": "Australia",
            "score": 0.9667890695445578,
            "types": [
              "Country",
              "Place"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Australia"
            },
            "indices": [
              [
                48,
                56
              ]
            ]
          },
          {
            "text": "Android",
            "score": 0.9990049544529386,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Android_(operating_system)"
            },
            "indices": [
              [
                0,
                6
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9675909494325882,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Electronics"
            },
            "indices": [
              [
                27,
                33
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "product",
              "Organisation"
            ],
            "indices": [
              [
                27,
                40
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "S7",
            "score": 0.6655249580668665,
            "types": [
              "Automobile",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Saleen_S7"
            },
            "indices": [
              [
                49,
                50
              ],
              [
                201,
                202
              ],
              [
                365,
                366
              ],
              [
                379,
                380
              ],
              [
                500,
                501
              ],
              [
                752,
                753
              ],
              [
                859,
                860
              ],
              [
                944,
                945
              ],
              [
                958,
                959
              ],
              [
                1117,
                1118
              ],
              [
                1141,
                1142
              ],
              [
                1414,
                1415
              ]
            ]
          },
          {
            "text": "Australian",
            "score": 0.9949378455720665,
            "types": [
              "Country"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Australia"
            },
            "indices": [
              [
                208,
                217
              ]
            ]
          },
          {
            "text": "Vodafone",
            "score": 0.9999999689631527,
            "types": [
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Vodafone"
            },
            "indices": [
              [
                227,
                234
              ],
              [
                324,
                331
              ],
              [
                534,
                541
              ],
              [
                598,
                605
              ]
            ]
          },
          {
            "text": "RAM",
            "score": 1,
            "types": [
              "Person"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Random-access_memory"
            },
            "indices": [
              [
                1225,
                1227
              ]
            ]
          },
          {
            "text": "Android",
            "score": 0.9999935301681373,
            "types": [
              "Software",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Android_(operating_system)"
            },
            "indices": [
              [
                64,
                70
              ],
              [
                255,
                261
              ],
              [
                391,
                397
              ],
              [
                483,
                489
              ],
              [
                561,
                567
              ],
              [
                653,
                659
              ],
              [
                816,
                822
              ],
              [
                990,
                996
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9999522119408235,
            "types": [
              "Company",
              "Place",
              "Organisation"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Electronics"
            },
            "indices": [
              [
                0,
                6
              ],
              [
                461,
                467
              ],
              [
                775,
                781
              ],
              [
                916,
                922
              ],
              [
                1102,
                1108
              ]
            ]
          },
          {
            "text": "Galaxy",
            "types": [
              "Person"
            ],
            "indices": [
              [
                42,
                47
              ],
              [
                194,
                199
              ],
              [
                358,
                363
              ],
              [
                372,
                377
              ],
              [
                745,
                750
              ],
              [
                852,
                857
              ],
              [
                937,
                942
              ],
              [
                951,
                956
              ],
              [
                1110,
                1115
              ]
            ]
          },
          {
            "text": "Samsung Galaxy S7",
            "types": [
              "product"
            ],
            "indices": [
              [
                1102,
                1118
              ]
            ]
          },
          {
            "text": "Samsung Galaxy",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                1102,
                1115
              ]
            ]
          },
          {
            "text": "Qualcomm",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                1191,
                1198
              ]
            ]
          }
        ]
      },
      "keywords": [
        "Samsung",
        "Update",
        "Galaxy",
        "Nougat",
        "Australia",
        "Version",
        "Android",
        "Samsung Galaxy",
        "Android Nougat",
        "Edge",
        "models",
        "camera",
        "storage",
        "Vodafone",
        "Qualcomm",
        "Snapdragon",
        "option",
        "32GB",
        "display",
        "Quad",
        "64GB",
        "S7",
        "Australian",
        "RAM",
        "Qualcomm Snapdragon",
        "aperture"
      ],
      "hashtags": [
        "#Android",
        "#SaleenS7",
        "#SamsungElectronics",
        "#Edge",
        "#Vodafone",
        "#Australia",
        "#QualcommSnapdragon",
        "#RAM",
        "#RandomaccessMemory",
        "#Aperture"
      ],
      "characters_count": 1433,
      "words_count": 255,
      "sentences_count": 12,
      "paragraphs_count": 4,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.3236397666070979,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.22887762893494049,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 0.9999961005608634,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 1,
            "fetched_at": "2016-12-22T12:46:08Z"
          },
          {
            "count": 1,
            "fetched_at": "2016-12-22T08:14:54Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T02:28:47Z"
          }
        ],
        "google_plus": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:52:19Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T07:00:13Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T01:14:27Z"
          }
        ],
        "linkedin": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:52:19Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T07:00:13Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T01:14:27Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T10:32:12Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T02:22:42Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "http://s1.ibtimes.com/sites/www.ibtimes.com/files/2016/11/10/samsung-galacy-s7-android-s7-beta-update.jpg",
          "format": "JPEG",
          "content_length": 1358991,
          "width": 4895,
          "height": 3300
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.638963
        },
        "body": {
          "polarity": "neutral",
          "score": 0.999999
        }
      },
      "language": "en",
      "published_at": "2016-12-21T22:25:09Z",
      "links": {
        "permalink": "http://www.ibtimes.com/android-70-nougat-update-samsung-galaxy-s7-australia-wont-get-version-711-2463975",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30206256",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30206256"
      }
    },
    {
      "id": 30195668,
      "title": "Report: Samsung mobile employees are getting a bonus cut for Christmas",
      "body": "It looks like Samsung’s mobile woes are going to somewhat fall on its mobile employees this year — despite beginning the year with a bang thanks to the Galaxy S7 and S7 Edge, the Galaxy Note 7 debacle has lost Samsung millions of dollars. So how does Samsung plan on easing the financial trouble? Apparently with a cut to its employees’ bonuses, according to a report from SamMobile.\n\nThe bonus cut isn’t totally unexpected. Samsung offers its employees performance incentives, which is a reward program that gives employees as much as 50 percent of their annual salaries as a bonus if that division falls within 20 percent of the company’s excess profits. The bonus percentage for the mobile division, it seems, has been reduced from 50 percent to 17 percent.\n\nSamsung employees in the mobile division have been receiving the maximum 50 percent bonuses for the past few years thanks to strong smartphone sales. According to the SamMobile report, this is the first time in six years that the bonus falls under the 20 percent mark.\n\nIt’s important to note that Samsung has not confirmed the information, but it would not be surprising if it turned out to be true — the Galaxy Note 7 was supposed to be Samsung’s time to shine but as you are probably aware, the device ended up being the source of a nightmare for the company. After the Galaxy Note 7 started shipping, reports began to surface saying that some units were catching fire while they charged, causing Samsung to issue a recall and replace phones with new ones. The only issue with that? The replacement phones began catching fire too, prompting a total recall of all Galaxy Note 7 phones in exchange for a full refund.",
      "summary": {
        "sentences": [
          "It looks like Samsung’s mobile woes are going to somewhat fall on its mobile employees this year — despite beginning the year with a bang thanks to the Galaxy S7 and S7 Edge, the Galaxy Note 7 debacle has lost Samsung millions of dollars.",
          "Samsung offers its employees performance incentives, which is a reward program that gives employees as much as 50 percent of their annual salaries as a bonus if that division falls within 20 percent of the company’s excess profits.",
          "Samsung employees in the mobile division have been receiving the maximum 50 percent bonuses for the past few years thanks to strong smartphone sales.",
          "It’s important to note that Samsung has not confirmed the information, but it would not be surprising if it turned out to be true — the Galaxy Note 7 was supposed to be Samsung’s time to shine but as you are probably aware, the device ended up being the source of a nightmare for the company.",
          "After the Galaxy Note 7 started shipping, reports began to surface saying that some units were catching fire while they charged, causing Samsung to issue a recall and replace phones with new ones."
        ]
      },
      "source": {
        "id": 64,
        "name": "Digital Trend",
        "title": "Digital Trends",
        "description": "Digital Trends provides consumer electronics reviews, firstlooks, news, videos, articles and discussion forums.",
        "links_in_count": 23724,
        "home_page_url": "http://www.digitaltrends.com/",
        "domain": "digitaltrends.com",
        "logo_url": "http://cdn2.digitaltrends.com/touch-icon-iphone4.png?ver=2",
        "locations": [],
        "scopes": [],
        "rankings": {
          "alexa": [
            {
              "rank": 892,
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 738,
              "country": "IN",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1552,
              "country": "ID",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1683,
              "country": "EG",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 558,
              "country": "SG",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 2367,
              "country": "TR",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1080,
              "country": "MY",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 7395,
              "country": "RU",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 670,
              "country": "PH",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1659,
              "country": "ES",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 571,
              "country": "PK",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 368,
              "country": "US",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 747,
              "country": "HK",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 527,
              "country": "IE",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 2122,
              "country": "IR",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 694,
              "country": "AU",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1214,
              "country": "SA",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 810,
              "country": "NG",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 569,
              "country": "GB",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 2247,
              "country": "FR",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1288,
              "country": "KR",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 3020,
              "country": "BR",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1642,
              "country": "IT",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1263,
              "country": "GR",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 796,
              "country": "ZA",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1861,
              "country": "MX",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1372,
              "country": "NL",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 517,
              "country": "CA",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 10468,
              "country": "JP",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 11596,
              "country": "CN",
              "fetched_at": "2016-08-22T16:47:02Z"
            },
            {
              "rank": 1784,
              "country": "DE",
              "fetched_at": "2016-08-22T16:47:02Z"
            }
          ]
        }
      },
      "author": {
        "id": 53005,
        "name": "Christian De Looper"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung",
            "score": 0.9725706622290194,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                8,
                14
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "Galaxy Note",
            "score": 0.9732632209369438,
            "types": [
              "InformationAppliance",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_Note_series"
            },
            "indices": [
              [
                179,
                189
              ],
              [
                1168,
                1178
              ],
              [
                1335,
                1345
              ],
              [
                1628,
                1638
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9858336897715734,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                14,
                20
              ],
              [
                210,
                216
              ],
              [
                251,
                257
              ],
              [
                425,
                431
              ],
              [
                762,
                768
              ],
              [
                1060,
                1066
              ],
              [
                1201,
                1207
              ],
              [
                1462,
                1468
              ]
            ]
          },
          {
            "text": "Samsung’s",
            "types": [
              "Organisation"
            ],
            "indices": [
              [
                14,
                22
              ],
              [
                1201,
                1209
              ]
            ]
          }
        ]
      },
      "keywords": [
        "employees",
        "mobile",
        "bonus",
        "Samsung",
        "Report",
        "Christmas",
        "Galaxy Note",
        "Note",
        "Galaxy",
        "percent",
        "report",
        "year",
        "phones",
        "time",
        "company",
        "bonuses",
        "SamMobile",
        "division",
        "fire",
        "Edge",
        "S7"
      ],
      "hashtags": [
        "#Samsung",
        "#SamsungGalaxyNoteSeries",
        "#Division",
        "#Edge",
        "#S7Airlines"
      ],
      "characters_count": 1679,
      "words_count": 296,
      "sentences_count": 12,
      "paragraphs_count": 4,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.35796229764933635,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.11089595708622757,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003005",
          "taxonomy": "iptc-subjectcode",
          "level": 3,
          "score": 0.9999985733334914,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003005",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 8,
            "fetched_at": "2016-12-22T12:42:27Z"
          },
          {
            "count": 8,
            "fetched_at": "2016-12-22T06:47:18Z"
          },
          {
            "count": 8,
            "fetched_at": "2016-12-22T00:54:14Z"
          }
        ],
        "google_plus": [
          {
            "count": 4,
            "fetched_at": "2016-12-22T12:48:07Z"
          },
          {
            "count": 4,
            "fetched_at": "2016-12-22T06:56:32Z"
          },
          {
            "count": 4,
            "fetched_at": "2016-12-22T01:09:39Z"
          }
        ],
        "linkedin": [
          {
            "count": 8,
            "fetched_at": "2016-12-22T12:48:07Z"
          },
          {
            "count": 8,
            "fetched_at": "2016-12-22T06:56:32Z"
          },
          {
            "count": 8,
            "fetched_at": "2016-12-22T01:09:39Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T10:20:27Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T02:14:11Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "http://icdn4.digitaltrends.com/image/samsung-galaxy-note-7-apps-edge-1200x630-c.jpg",
          "format": "JPEG",
          "content_length": 136674,
          "width": 1200,
          "height": 630
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.68547
        },
        "body": {
          "polarity": "negative",
          "score": 0.991561
        }
      },
      "language": "en",
      "published_at": "2016-12-21T20:10:03Z",
      "links": {
        "permalink": "http://www.digitaltrends.com/mobile/samsung-employees-bonus-cuts/",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30195668",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30195668"
      }
    },
    {
      "id": 30195146,
      "title": "Comment: Can we stop freaking out every time a Samsung phone explodes?",
      "body": "Every day we walk around with potential death-traps in our pockets ─ they’re called our smartphones. Each and every smartphone ever made has the potential to explode, and sometimes they do. For the most part, the batteries in our smartphones are safe. So why does everyone suddenly care whenever a smartphone does explode? The Galaxy Note 7.\n\nEarlier this year, Samsung launched the Galaxy Note 7 which, by any normal measurement, was its best smartphone ever. It packed powerful specs, all the features we could ever want, a pleasing design, and software that was finally good. Overall, it truly was a great smartphone, until they started exploding…\n\nA few weeks after launch, reports starting coming in that Note 7 units were exploding due to its battery, but the cause was and still is completely unknown. As the issue escalated, Samsung decided to issue a recall on all units that had been sold up to that point. From there, the company assured customers that the replacement Galaxy Note 7 units would be safe and marked as such. Long story short, they weren’t.\n\nOne infamous morning, a report came out that a replacement Galaxy Note 7 had caught fire while on a (thankfully grounded) flight. Then, another replacement exploded, and another, and so on and so forth. At that point, Samsung had no choice but to kill the Note 7, recalling all units that had been sold worldwide. Now, because of this whole debacle, everyone is freaking out any time a Samsung smartphone explodes.\n\nThis morning, a user report hit Reddit from a Galaxy S6 Edge+ user whose device exploded overnight due to a ruptured battery cell. He states that the device was plugged into an official charging brick and cable, but it still exploded overnight.\n\nWoke up this morning (yesterday technically. 12/20) just in time to get ready for work and looked over to find my phone has exploded. Luckily I don’t keep it on my bed, as you can see it scorched my night stand. I’ve talked to Samsung and my carrier. The phone had no problems before, no overheating. I think I’m done with Samsung for a while, really gonna miss the photos I had from Africa in the fall. Dammit Samsung, I was still in your corner after the Note 7 stuff too.\n\nWhile it’s unfortunate that this user had his device explode, it’s not a reason to freak out, nor a reason to be “done with Samsung.” This is the danger with any and all smartphones, not just Samsung and even including Apple. I’m not saying it’s not a problem that phones explode. But it happens sometimes, even though at this point, it definitely shouldn’t.\n\nThis problem is partly thanks to the way lithium batteries work. Lithium-ion batteries are designed to pack more power into a smaller space compared to other battery technologies. To do that, it relies on three main components: a positively charged cathode (made from metal), a negatively charged anode (made from graphite), and a lithium electrolyte which enables the electric charge to flow. In order to work, the cathode and anode need to be physically separated, typically with a thin piece of plastic, a piece which continues to get thinner and thinner as our devices do. That also means that these batteries continue to get more delicate, which means any external damage to the device can damage the battery which can cause a short circuit, which can, in turn, cause the device to explode.\n\nSo in short, a device is never completely safe from exploding, but it’s not likely either, especially if that device is using official charging accessories and hasn’t been damaged. Cases like the one from today are rare, and there’s only one reason we’re even noticing them. Since the Galaxy Note 7 fiasco got so much attention, device explosions are on people’s minds, so everyone’s noticing these as well. It’s a phenomenon known as the frequency illusion.\n\nGranted, all the bad press should help motivate smartphone makers make safety a great concern with upcoming releases — so it’s not all bad — but let’s not freak out every time it happens. Just be happy that no one gets hurt.",
      "summary": {
        "sentences": [
          "Earlier this year, Samsung launched the Galaxy Note 7 which, by any normal measurement, was its best smartphone ever.",
          "Overall, it truly was a great smartphone, until they started exploding…\n\nA few weeks after launch, reports starting coming in that Note 7 units were exploding due to its battery, but the cause was and still is completely unknown.",
          "This morning, a user report hit Reddit from a Galaxy S6 Edge+ user whose device exploded overnight due to a ruptured battery cell.",
          "That also means that these batteries continue to get more delicate, which means any external damage to the device can damage the battery which can cause a short circuit, which can, in turn, cause the device to explode.",
          "Since the Galaxy Note 7 fiasco got so much attention, device explosions are on people’s minds, so everyone’s noticing these as well."
        ]
      },
      "source": {
        "id": 1740,
        "name": "9to5Google",
        "title": "9to5google.com/",
        "links_in_count": 3672,
        "home_page_url": "http://9to5google.com/",
        "domain": "9to5google.com",
        "logo_url": "https://secure.gravatar.com/blavatar/987a087507229cc1ce015b38a27908d6?s=96&d=https%3A%2F%2Fs2.wp.com%2Fi%2Fbuttonw-com.png",
        "locations": [],
        "scopes": [
          {
            "level": "international"
          }
        ],
        "rankings": {
          "alexa": [
            {
              "rank": 14734,
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 10157,
              "country": "IN",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 12113,
              "country": "SG",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 31849,
              "country": "TR",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 83586,
              "country": "RU",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 18559,
              "country": "TW",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 27724,
              "country": "ES",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 14884,
              "country": "PK",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 5639,
              "country": "US",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 6892,
              "country": "HK",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 26399,
              "country": "AU",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 6866,
              "country": "SA",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 9115,
              "country": "CH",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 13768,
              "country": "NG",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 11473,
              "country": "GB",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 19693,
              "country": "FR",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 5541,
              "country": "PT",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 6064,
              "country": "KR",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 39673,
              "country": "BR",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 26309,
              "country": "IT",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 14743,
              "country": "GR",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 753,
              "country": "OM",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 11039,
              "country": "CA",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 74590,
              "country": "JP",
              "fetched_at": "2016-08-22T16:55:54Z"
            },
            {
              "rank": 49609,
              "country": "DE",
              "fetched_at": "2016-08-22T16:55:54Z"
            }
          ]
        }
      },
      "author": {
        "id": 357054,
        "name": "Ben Schoon"
      },
      "entities": {
        "title": [
          {
            "text": "Samsung",
            "score": 0.9583267800691325,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                47,
                53
              ]
            ]
          }
        ],
        "body": [
          {
            "text": "this morning",
            "score": 0.9976166865845039,
            "types": [
              "TelevisionShow",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/This_Morning_(TV_programme)"
            },
            "indices": [
              [
                1737,
                1748
              ]
            ]
          },
          {
            "text": "Samsung",
            "score": 0.9702404912717671,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung"
            },
            "indices": [
              [
                362,
                368
              ],
              [
                833,
                839
              ],
              [
                1285,
                1291
              ],
              [
                1453,
                1459
              ],
              [
                1956,
                1962
              ],
              [
                2052,
                2058
              ],
              [
                2140,
                2146
              ],
              [
                2329,
                2335
              ],
              [
                2397,
                2403
              ]
            ]
          },
          {
            "text": "graphite",
            "score": 0.999999999535703,
            "types": [
              "Mineral"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Graphite"
            },
            "indices": [
              [
                2879,
                2886
              ]
            ]
          },
          {
            "text": "Galaxy S6 Edge",
            "score": 1,
            "types": [
              "Device",
              "product"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Samsung_Galaxy_S5"
            },
            "indices": [
              [
                1529,
                1542
              ]
            ]
          },
          {
            "text": "Apple",
            "score": 0.9999999999995453,
            "types": [
              "Agent",
              "Organisation",
              "Company"
            ],
            "links": {
              "dbpedia": "http://dbpedia.org/resource/Apple_Inc."
            },
            "indices": [
              [
                2424,
                2428
              ]
            ]
          },
          {
            "text": "Africa",
            "types": [
              "Place"
            ],
            "indices": [
              [
                2113,
                2118
              ]
            ]
          },
          {
            "text": "Long",
            "types": [
              "product"
            ],
            "indices": [
              [
                1034,
                1037
              ]
            ]
          }
        ]
      },
      "keywords": [
        "Comment",
        "phone",
        "Samsung",
        "time",
        "great smartphone",
        "Galaxy Note",
        "smartphones",
        "Note",
        "batteries",
        "device",
        "Galaxy",
        "morning",
        "units",
        "great",
        "cathode",
        "anode",
        "smartphone",
        "frequency illusion",
        "Reddit",
        "this morning",
        "electrolyte",
        "graphite",
        "Lithium-ion batteries",
        "electric charge",
        "Galaxy S6 Edge",
        "Apple"
      ],
      "hashtags": [
        "#Samsung",
        "#Smartphone",
        "#SamsungGalaxyNote",
        "#Cathode",
        "#ElectricCharge",
        "#ListOfCognitiveBiases",
        "#LithiumionBattery",
        "#Reddit",
        "#ThisMorning",
        "#AppleInc",
        "#Electrolyte",
        "#Anode",
        "#SamsungGalaxyS5",
        "#Graphite"
      ],
      "characters_count": 4046,
      "words_count": 718,
      "sentences_count": 39,
      "paragraphs_count": 10,
      "categories": [
        {
          "id": "IAB19-6",
          "taxonomy": "iab-qag",
          "level": 2,
          "score": 0.2906585588162703,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19-6",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "IAB19",
          "taxonomy": "iab-qag",
          "level": 1,
          "score": 0.14532029981255237,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iab-qag/IAB19"
          }
        },
        {
          "id": "04003000",
          "taxonomy": "iptc-subjectcode",
          "level": 2,
          "score": 1,
          "confident": true,
          "links": {
            "self": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04003000",
            "parent": "https://api.aylien.com/api/v1/classify/taxonomy/iptc-subjectcode/04000000"
          }
        }
      ],
      "social_shares_count": {
        "facebook": [
          {
            "count": 18,
            "fetched_at": "2016-12-22T12:42:16Z"
          },
          {
            "count": 17,
            "fetched_at": "2016-12-22T07:34:55Z"
          },
          {
            "count": 17,
            "fetched_at": "2016-12-22T01:56:16Z"
          }
        ],
        "google_plus": [
          {
            "count": 1,
            "fetched_at": "2016-12-22T12:47:55Z"
          },
          {
            "count": 1,
            "fetched_at": "2016-12-22T06:56:21Z"
          },
          {
            "count": 1,
            "fetched_at": "2016-12-22T01:09:22Z"
          }
        ],
        "linkedin": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T12:47:55Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T06:56:21Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T01:09:22Z"
          }
        ],
        "reddit": [
          {
            "count": 0,
            "fetched_at": "2016-12-22T10:19:52Z"
          },
          {
            "count": 0,
            "fetched_at": "2016-12-22T02:13:34Z"
          }
        ]
      },
      "media": [
        {
          "type": "image",
          "url": "https://9to5google.files.wordpress.com/2016/12/galaxys6edgeplus_explosion_1.jpg?quality=82&strip=all&strip=all&w=1600&h=1000",
          "format": "JPEG",
          "content_length": 249854,
          "width": 1456,
          "height": 819
        }
      ],
      "sentiment": {
        "title": {
          "polarity": "neutral",
          "score": 0.743001
        },
        "body": {
          "polarity": "positive",
          "score": 0.980296
        }
      },
      "language": "en",
      "published_at": "2016-12-21T20:02:59Z",
      "links": {
        "permalink": "https://9to5google.com/2016/12/21/comment-can-we-stop-freaking-out-every-time-a-samsung-phone-explodes/",
        "related_stories": "https://api.newsapi.aylien.com/api/v1/related_stories?story_id=30195146",
        "coverages": "https://api.newsapi.aylien.com/api/v1/coverages?story_id=30195146"
      }
    }
  ],
  "clusters": [],
  "next_page_cursor": "AoJ409m+kdkCLlN0b3J5IDMwMTk1MTQ2"
}

Given their industry rivalry, Samsung and Apple are often mentioned together in news stories. In this example, we source stories that only mention Samsung. By excluding stories mentioning Apple, we are significantly increasing the likelihood that our results will contain stories that are specifically about Samsung, rather than simply mentioning the brand, perhaps in a comparison to Apple, for example.

For more information on NOT queries, check out our News API documentation.

_________________________________________________________________________

New feature: Canonical URL extraction

There is a wealth of information hidden in the contents and the markup of news story web pages that can be extremely useful to news content aggregators and app developers.

One such example of this useful information is canonical URLs.

What are Canonical URLs?

A canonical URL is an HTML element that helps webmasters prevent duplicate content issues by specifying the preferred (or “canonical”) version of a web page as part of search engine optimization (SEO).

It can be described as the search-engine-friendly URL that webmasters want the likes of Google, Bing and Baidu to treat as authoritative, when a number of copies of the same story exist on a publisher’s website.

Screen Shot 2017-03-14 at 12.32.17Canonical URL in webpage HTML

The URL of a web page that a visitor can see depends on the structure of the site and the path the visitor takes to reach it. For example, a product may be categorized as both food and fitness and therefore can be accessed from each category folder, with different URLs;

www.myexampleshop.com/food/productA

www.myexampleshop.com/fitness/productA

While this is a simple example, numerous URLs bring added complexity and concerns around duplicate content. By telling search engines which URL is the ‘main’ or ‘original’ URL, it can be indexed accordingly.

Why extract canonical URLs?

Because the canonical URL is the preferred or main URL, it is the most likely to remain active or unchanged. In extracting this URL, rather than a feedproxy permalink for example, you are increasing your chances of maintaining a URL record that will not change or expire in time.

Screen Shot 2017-03-14 at 12.30.20News API JSON results showing permalink and canonical URL

0

Introduction

Super Bowl 51 had us on the edge of our seats. A dramatic comeback and a shocking overtime finish meant the 111.3 Million Americans who tuned into the event certainly got what they came for. Even though TV viewership was down on previous years, the emotional rollercoaster that was Sunday’s game will certainly go down as one of the greatest.

As with any major sporting event, the Super Bowl creates an incredible amount of hype, particularly on Social Media. All of the social chatter and media coverage around the Super Bowl means it’s a fantastic case study in analyzing the voice of fans and their reactions to the event. Using advanced Machine Learning and Natural Language Processing techniques, such as Sentiment Analysis, we are able to understand how fans of both the Patriots and the Falcons collectively felt at any given moment throughout the event.

Not familiar with Sentiment Analysis? Sentiment Analysis is used to detect positive or negative polarity in text and can help you understand the split in opinion from almost any body of text, website or document.

Our process

We used the Twitter Streaming API to collect a total of around 2.2 million tweets that mentioned a selection of game and team-related keywords, hashtags and handles. Using the AYLIEN Text Analysis API, we analyzed each of these tweets and visualized our results using Tableau. In particular, we were interested in uncovering and investigating the following key areas:

  • Volume of tweets before, during and after the game
  • Sentiment of tweets before, during and after the game
  • Team-specific fan reactions
  • The most tweeted players
  • The most popular Super Bowl hashtag

Keyword selection

We focused our data collection on keywords, hashtags and handles that were related to Super Bowl 51 and the two competing teams, including;

#SB51, #superbowl, #superbowlLI, #superbowl51, #superbowl2017, #HouSuperBowl, #Patriots, #NEPatriots, #newenglandpatriots, #Falcons, #AtlantaFalcons.

Once we collected all of our tweets, we spent a bit of time cleaning and prepping our data set, first by disregarding some of the metadata which we felt we didn’t need. We kept key indicators like time stamps, tweet ID’s and the raw text of each tweet. We also removed retweets and tweets that contained links. From previous experience, we find that tweets containing links are mostly objective and generally don’t hold any author opinion towards the event.

Tools we used

Visualizations

Like with many of our data-driven blog posts, we used Tableau to visualize our results. All visualizations are interactive and you can hover your mouse over each one to dive deeper into the key data points from which they are generated.

We began our analysis of Super Bowl 51 by looking at the overall volume of tweets in the lead up and during the game.

Tweet volume over time: all tweets

The graph below represents minute-by-minute fluctuations in tweet volumes before during and after the game. For reference, we’ve highlighted some of the key moments throughout the event with the corresponding spikes in tweet volume.

As you can see, there is a definite and steady increase in tweet volume in the period leading up to the game. From kickoff, it is then all about reactions to in-game highlights, as seen by the sharp spikes and dips in volumes. We’ve also highlighted the halftime period to show you the effect that Lady Gaga’s performance had on tweet volumes.

Let’s now take a closer look at the pre-game period and in particular, fan predictions.

Pre-game tweet volume: #PatriotsWin vs. #FalconsWin

For the past 13 years, video game developers EA Sports have been using their football game ‘Madden NFL’ to simulate and predict the winner of the Super Bowl each year. They now have a 10-3 success-failure rate, in case you were wondering! In recent times, they have also been inviting the Twittersphere to show their support for their team by using a certain hashtag in their tweets. For 2017, it was #PatriotsWin vs. #FalconsWin.
So, which set of fans were the most vocal in the 2017 #MyMaddenPrediction battle? We listened to Twitter in the build up to the game for mentions of both hashtags, and here’s what we found;

58.57% of tweets mentioned #FalconsWin while 41.43% went with #PatriotsWin. While the Patriots were firm pre-game favorites, it is likely that the neutral football fan on Twitter got behind the underdog Falcons as they chased their first ever Super Bowl win, in just their second appearance.

Tweet volume over time by team

Now that we’ve seen the overall tweet volume and the pre-game #MyMaddenPrediction volumes, let’s take a look at tweet volumes for each individual team before, during and after the game.
The graph below represents tweet volumes for both teams, with the New England Patriots in the top section and the Atlanta Falcons in the bottom section.

Talk about a game of two halves! That vertical line you can see between the two main peaks represents halftime, and as you can see, Falcons fans were considerably louder in the first half of the game, before the Patriots fans brought the noise in the second half as their team pulled off one of the greatest comebacks in Super Bowl history.

Sentiment analysis of tweets

While tweet volumes relating to either team can be a clear indicator of their on-field dominance during various periods of the game, we like to go a step further and look at the sentiment of these tweets to develop an understanding of how public opinion develops and fluctuates.

The charts below are split into two sections;

Top: Volume of tweets over time, by sentiment (Positive / Negative)

Bottom: Average sentiment polarity over time (Positive / Negative)

New England Patriots

What’s immediately clear from the chart above is that, for the majority of the game, Patriots fans weren’t too happy and it seems had given up hope. However, as you can see by the gradual increase in positive tweets sentiment and volume in the final third, their mood clearly and understandably changes.

Atlanta Falcons

In stark contrast to the Patriots chart, Falcons fans were producing high volumes of positive sentiment for the majority of the game, until the Patriots comeback materialized, and their mood took a turn for the worse, as indicated by the drop of sentiment into negative.

Most tweeted individuals

To get an understanding of who people were talking about in their tweets, we looked at the top mentioned individuals. Unsurprisingly, Tom Brady was heavily featured after his 5th Super Bowl triumph.However, the most mentioned individual had no part to play in the actual game.

All notable players and scorers (and even Brady himself) were shrugged aside when it came to who the viewers were talking about and reacting to most on Twitter, as halftime show performer Lady Gaga dominated. To put the singer’s domination into perspective, she was mentioned in nearly as many tweets as Brady and Ryan were combined!

To get an idea of the scale of her halftime performance, check out this incredible timelapse;


Interestingly, national anthem singer Luke Bryan was tweeted more than both the Patriots’ Head Coach Bill Belichick and catch-of-the-game winner Julian Edelman. Further proof, if needed, that the Super Bowl is not just about the game of football, but that it is becoming more and more of an entertainment spectacle off the field.

Most popular Super Bowl hashtags

We saw a variety hashtags emerge for the Super Bowl this year, so we decided to see which were the most used. Here are the top 5 most popular Super Bowl hashtags, which we have visualized with volumes below;

#SuperBowl

#SB51

#SuperBowl2017

#SuperBowlLI

#SuperBowl51

Despite the NFL’s best efforts to get Twitter using #SB51, the most obvious and simple hashtag of #SuperBowl was a clear winner.

Conclusion

There is no other event on the planet that creates as much hype in the sporting, advertising and entertainment worlds. But the Super Bowl as we know it today, is far less about the football and more about the entertainment factor and commercial opportunity. With big brands spending a minimum $5 Million for a 30 second commercial, competition for viewers eyes and more importantly viewers promotion through shares and likes on social media, the Super Bowl has become big business.

In our next installment, we’ve analyzed the chatter around Super Bowl 51 from a branding point of view. We collected and analyzed Twitter data and news and media coverage of the event to pinpoint which brands and commercials joined the Patriots as Super Bowl 51 champions.





Text Analysis API - Sign up




0

Introduction

With our News API, our goal is to make the world’s news content easier to collect, monitor and query, just like a database. We leverage Machine Learning and Natural Language Processing to process, normalize and analyze this content to make it easier for our users to gain access to rich and high quality metadata, and use powerful filtering capabilities that will ultimately help you to find precise and targeted stories with ease.

To this end, we have just launched a cool new feature, Real-time monitoring. Real-time monitoring allows you to further automate your collection and analysis of the world’s news content by creating tailored searches that source and automatically retrieve highly-relevant news stories, as soon as they are published.

real-time monitoring

You can read more about our latest feature – which is now also available in our News API SDKs – below.

Real-time monitoring

With Real-time monitoring enabled you can automatically pull stories as they are published, based on your specific search query. Users who rely on having access to the latest stories as soon as they are published, such as news aggregators and news app developers for example, should find this new feature particularly interesting.

The addition of this powerful new feature will help ensure that your app, webpage or news feed is bang up to date with the latest and most relevant news content, without the need for manual searching and updating.

Newly published stories can be pulled every minute (configurable), and duplicate stories in subsequent searches will be ignored. This ensures you are only getting the most recent publications, rather than a repeat of what has come before.

Usage

We have created code in seven different programming languages to help get you started with Real-time monitoring, each of which can be found below, as well as in our documentation.

NB: Real-time monitoring will only work when you set the sort_by parameter to published_at and sort_direction to desc.

Benefit

The main benefit of this cool new feature is that you can be confident you are receiving the very latest stories and insights, without delay, by creating an automated process that will continue to retrieve relevant content as soon as it is published online. By automating the retrieval of content in real-time, you can cut down on manual input and generate feeds, charts and graphs that will automatically update in real-time.

We hope that you find this new update useful, and we would love to hear any feedback you may have.

To start using our News API for free and query the world’s news content easily, click the image below.

 


News API - Sign up




0

Introduction

Interest in Artificial Intelligence and Machine Learning has seen a significant boom in recent times as the techniques and technologies behind them have quickly emerged from the research labs to the mainstream and into our everyday lives.

AI is helping organizations to automate routine operational tasks that would otherwise need to be performed by employees, often at a steep time and financial cost. By automating high-volume tasks, the need for human input in many areas is being reduced, creating more efficient and cost-effective processes.

Today we’re going to take a look at why we are seeing this rapid increase in interest in the areas of AI and Machine Learning, the key trends emerging, how various industries are leveraging them, and the challenges that lie ahead in a fascinating area with seemingly unlimited potential.

What are the main reasons behind the boom?

The mathematical approaches underlying Machine Learning are not new. In fact, many date back as far as the early 1800’s, which begs the question, why are we only now seeing this boom in Machine Learning and AI? The techniques behind these advancements generally require a considerable amount of both data and computational power, both of which continue to become more and more accessible and affordable to even the smallest of organizations. Significant recent improvements in computational capacities and an ever-expanding glut of accessible data are helping to bring AI and Machine Learning from futuristic fiction to the everyday norm. So much of what we do and touch on daily basis, whether in work, at home, or at play, contains some form of ML or AI element, even if we are not always aware of it.

We’re seeing this boom now because technological advancements have made it possible. Not only that, organizations are seeing clear and quantifiable evidence that these advancements can help them overcome a variety of operational problems, streamline their processes and enable better decision-making.

Screen Shot 2016-09-28 at 18.36.46

Key trends in Machine Learning & AI

Increased volume of data requires more powerful methods of analysis

Analyzing the sheer volume of data that is being generated on a daily basis creates a unique challenge that requires sophisticated and cutting-edge research to help solve. As the volume and variety of data sources continues to expand so too does the need to develop new methods of analysis, with research focussing on the development of new algorithms and ‘tricks’ to improve performance and enable greater levels of analysis.

Affordability and accessibility in the cloud

As the level of accessible data continues to grow, and the cost of storing and maintaining it continues to drop, more and more Machine Learning solutions hosting pre-trained models-as-a-service are making it easier and more affordable for organizations to take advantage. Without necessarily needing to hire Machine Learning experts, even the smallest of companies are now just an API call away from retrieving powerful and actionable insights from their data. From a development point of view, this is enabling the quick movement of application prototypes into production, which is spurring the growth of new apps and startups that are now entering and disrupting most markets and industries out there.

Every company is becoming a data company

Regardless of what an organization does or what industry they belong to, data is helping to drive value. Some will be using it to spot trends in performance or markets to help predict and prepare for future outcomes, while others will be using it to personalize their inventory, creating a better user experience and promoting an increased level of engagement with their customers.

Traditionally, organizational decisions have been made based on numerical and/or structured data, as access to relevant unstructured data was either unavailable, or simply unattainable. With the explosion of big data in recent time and the improvement in Machine Learning capabilities, huge amounts of unstructured data can now be aggregated and analyzed, enabling a deeper level of insight and analysis which leads to more informed decision-making.

How these trends are being leveraged

Machine Learning techniques are being applied in a wide range of applications to help solve a number of fascinating problems.

Contextualized data for a personalized UX

Today’s ever-connected consumer offers a myriad of opportunities to companies and providers who are willing to go that extra step in providing a personalized user experience. Contextualized experience goes beyond simple personalization, such as knowing where your user is or what they are doing at a certain point in time. Such experience has become a basic expectation – my phone knows my location, my smartwatch knows that I’m running, etc.

There is now a greater expectation among users for a deeper, almost predictory experience with their applications and Machine Learning is certainly assisting in the quest to meet these expectations. An abundance of available data enables improved features and better machine learning models to be created, generating higher levels of performance and predictability, which ultimately leads to an improved user experience.

Via Machine Learning, a person’s future actions can be predicted at the individual level with a high degree of confidence. No longer are you viewed as a member of a cohort. Now you are known individually by a computer so that you may be targeted surgically” – John Foreman

Internet of Things

As the rapid increase in devices and applications connected to the Internet of Things continues, the sheer volume of data being generated will continue to grow at an incredible rate. It’s simply not possible for us mere mortals to analyze and understand such quantities of data manually. Machine Learning is helping to aggregate all of this data from countless sources and touchpoints to deliver powerful insights, spot actionable trends and uncover user behavior patterns.

Software and hardware innovations

We are seeing the implementation of AI and Machine Learning capabilities in both software and hardware across pretty much every industry out there. For example;

Retail buyers are being fed live inventory updates and in many cases enabling the auto-replenishment of stock as historical data predicts the future stock-level requirements and sales patterns.

Healthcare providers are receiving live updates from patients connected to a variety of devices and again, through Machine Learning of historical data, are predicting potential issues and making key decisions that are helping save lives.

Financial service providers are pinpointing potential instances of fraud, evaluating credit worthiness of applicants, generating sales and marketing campaigns and performing risk analysis, all with the help of Machine Learning and AI-powered software and interfaces.

Every application will soon be an intelligent application

AI and machine learning capabilities are being included in more and more platforms and software, enabling business and IT professionals to take advantage of them, even if they don’t quite know how they work. Similar to the way many of us drive a car without fully understanding what’s going on under the hood, professionals from all walks of life, regardless of their level of education or technical prowess, are more and more beginning to use applications on a daily basis that appear simple and user-friendly on the surface, but are powered in many ways by ML and AI.

Challenges and opportunities going forward

Machine Learning has very quickly progressed from research to mainstream and is helping drive a new era of innovation that still has a long and perhaps uncapped future ahead of it. Companies in today’s digital landscape need to consider how Machine Learning can serve them in creating a competitive advantage within their respective industries.

Despite the significant advancements made in recent years, we are still looking at an industry in its infancy. Here are some of the main challenges and opportunities for AI and Machine Learning going forward;

Security concerns

With such an increase in collected data and connectivity among devices and applications comes the risk of data leaks and security breaches which may lead to personal information finding its way into the wrong hands and applications facing

Access to resources and data

Previously, only a few big companies had access to the quality and size of datasets required to train production-level AI. However, we’re now seeing startups and even individual researchers coming up with clever ways of collecting training data in cost effective ways. For example, researchers are now using GTA as an environment for training self-driving cars.

The same applies to research, as previously it was much more difficult for a startup or an individual researcher to get access to ‘Google-level’ tools and resources for conducting research within AI, now with the proliferation of open-source frameworks and libraries such as Torch, Theano, TensorFlow, etc. and also the openness around publications and sharing the results of research, we’re seeing a more level playing field in AI research in both the industry and academia.

Hype vs. reality

There is still somewhat of a disconnect between the potential impact advancements in AI will have on our world and how it’s actually being utilized in everyday life. In some cases technology providers, the media and PR teams are seen to be pushing the boundaries of the extent of what’s possible within AI and Machine Learning, and speculating what’s next. In some cases this can lead to frustration for the users of these technologies (consumer or enterprise) when these promises go unfulfilled, and that may cause a backlash at the expense of the entire AI industry.

 




News API - Sign up




0

General

 

Introduction

Deep Learning is a new area of Machine Learning research that has been gaining significant media interest owing to the role it is playing in artificial intelligence applications like image recognition, self-driving cars and most recently the AlphaGo vs. Lee Sedol matches. Recently, Deep Learning techniques have become popular in solving traditional Natural Language Processing problems like Sentiment Analysis.

For those of you that are new to the topic of Deep Learning, we have put together a list of ten common terms and concepts explained in simple English, which will hopefully make them a bit easier to understand. We’ve done the same in the past for Machine Learning and NLP terms, which you might also find interesting.

Perceptron

In the human brain, a neuron is a cell that processes and transmits information. A perceptron can be considered as a super-simplified version of a biological neuron.

A perceptron will take several inputs and weigh them up to produce a single output. Each input is weighted according to its importance in the output decision.

Artificial Neural Networks

Artificial Neural Networks (ANN) are models influenced by biological neural networks such as the central nervous systems of living creatures and most distinctly, the brain.

ANN’s are processing devices, such as algorithms or physical hardware, and are loosely modeled on the cerebral cortex of mammals, albeit on a considerably smaller scale.

Let’s call them a simplified computational model of the human brain.

Backpropagation

A neural network learns by training, using an algorithm called backpropagation. To train a neural network it is first given an input which produces an output. The first step is to teach the neural network what the correct, or ideal, output should have been for that input. The ANN can then take this ideal output and begin adapting the weights to yield an enhanced, more precise output (based on how much they contributed to the overall prediction) the next time it receives a similar input.

This process is repeated many many times until the margin of error between the input and the ideal output is considered acceptable.

Convolutional Neural Networks

A convolutional neural network (CNN) can be considered as a neural network that utilizes numerous identical replicas of the same neuron. The benefit of this is that it enables a network to learn a neuron once and use it in numerous places, simplifying the model learning process and thus reducing error. This has made CNNs particularly useful in the area of object recognition and image tagging.

CNNs learn more and more abstract representations of the input with each convolution. In the case of object recognition, a CNN might start with raw pixel data, then learn highly discriminative features such as edges, followed by basic shapes, complex shapes, patterns and textures.

 

source: http://stats.stackexchange.com/questions/146413

 

 

Recurrent Neural Network

Recurrent Neural Networks (RNN) make use of sequential information. Unlike traditional neural networks, where it is assumed that all inputs and outputs are independent of one another, RNNs are reliant on preceding computations and what has previously been calculated. RNNs can be conceptualized as a neural network unrolled over time. Where you would have different layers in a regular neural network, you apply the same layer to the input at each timestep in an RNN, using the output, i.e. the state of the previous timestep as input. Connections between entities in a RNN form a directed cycle, creating a sort of internal memory, that helps the model leverage long chains of dependencies.

Recursive Neural Network

A Recursive Neural Network is a generalization of a Recurrent Neural Network and is generated by applying a fixed and consistent set of weights repetitively, or recursively, over the structure. Recursive Neural Networks take the form of a tree, while Recurrent is a chain. Recursive Neural Nets have been utilized in Natural Language Processing for tasks such as Sentiment Analysis.

 

source:  http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf

 

 

Supervised Neural Network

For a supervised neural network to produce an ideal output, it must have been previously given this output. It is ‘trained’ on a pre-defined dataset and based on this dataset, can produce  accurate outputs depending on the input it has received. You could therefore say that it has been supervised in its learning, having for example been given both the question and the ideal answer.

Unsupervised Neural Network

This involves providing a programme or machine with an unlabeled data set that it has not been previously trained for, with the goal of automatically discovering patterns and trends through clustering.

Gradient Descent

Gradient Descent is an algorithm used to find the local minimum of a function. By initially guessing the solution and using the function gradient at that point, we guide the solution in the negative direction of the gradient and repeat this technique until the algorithm eventually converges at the point where the gradient is zero – local minimum. We essentially descend the error surface until we arrive at a valley.

Word Embedding

Similar to the way a painting might be a representation of a person, a word embedding is a representation of a word, using real-valued numbers. Word embeddings can be trained and used to derive similarities between both other words, and other relations. They are an arrangement of numbers representing the semantic and syntactic information of words in a format that computers can understand.

Word vectors created through this process manifest interesting characteristics that almost look and sound like magic at first. For instance, if we subtract the vector of Man from the vector of King, the result will be almost equal to the vector resulting from subtracting Woman from Queen. Even more surprisingly, the result of subtracting Run from Running almost equates to that of Seeing minus See. These examples show that the model has not only learnt the meaning and the semantics of these words, but also the syntax and the grammar to some degree.

 

 

So there you have it – some pretty technical deep learning terms explained in simple english. We hope this helps you get your head around some of the tricky terms you might come across as you begin to explore deep learning.

 

 




News API - Sign up




0

Whether you’re a publisher, a content distributor or an advertiser, content is king if you are looking to increase engagement. As web users, we don’t visit and regularly return to websites, blogs and news sites if we don’t find them engaging or they don’t fulfill our needs. When we visit websites we generally want to learn something or be entertained. If businesses want to engage with audiences and more importantly relevant audiences online they need to be creating high quality and informative content.

 

image

What’s Changed?

As web users, the way we search for and consume information has dramatically changed. This has meant publishers and content creators have had to adapt too. More and more content is being consumed and shared online today than ever before according to a recent study by IBM; “90% of the data in the world today has been created in the last two years alone.” This content is also published and shared across numerous channels; blogs, platforms, news sites and social media for example which means staying ahead of the curve and informed has become harder than ever before.

Traditionally content distributors or even search engines would rely on serving relevant content to users based on their expressed requirements, for example through a Google search, we would enter our search term and they would provide a relevant result. It was a similar situation for advertisers and publishers, we would be served ads or promoted content based on our search terms or what we asked for.

Today things are a little different, as web users, we expect relevant content to be pushed to us and placed under our noses via our favourite blogs, social sites and even well targeted ads. We expect informative, relevant and sharable content to be automatically placed at our fingertips.

This new focus on content has also brought about some notable developments in the advertising and content distribution spaces. Content discovery platforms, publishers and advertisers have needed to adapt and not be left behind and have done a relatively good job of reacting to change and embracing technology.

Advancements in NLP, Machine Learning and Text Analysis are right at the heart of how content discovery and distribution has changed. Being able to analyze vast amounts of content and extract topics, entities, concepts, keywords and even being able to summarize vast amounts of text allows for easier and more accurate categorization, discovery and distribution.

So who Benefits?

With all of the advancements in technology being utilized to make the web better, it is difficult to know who benefits the most. Publishers, Advertisers, Content Distributors or Web users.

Publishers

Providing relevant content to attract visitors to your sites is one thing but keeping visitors engaged and returning is even more important to publishers. Being able to suggest another relevant article or video to readers means visitors are more likely to spend time on your site, re-visit your site, consume more content and share more articles.

Advertisers

Semantic Advertising (which you can read about here) allows advertisers to serve more targeted ads which results in higher CTR’s. Being able to analyze content and automatically serve well-targeted relevant ads means the ad publisher/networks as well as the brands behind the ads extend their reach, improve their relevancy and benefit from better performing ad campaigns.

Content discovery/distribution platforms

Text Analysis and Natural Language Processing technologies allow content platforms to easily discover popular content, group or categorize it and distribute that content effectively on the right channels to the right target audience resulting in a more engaged and growing user base.

Web Users

As web users, things have become a lot easier. We now utilise automated discovery tools, engage with content discovery platforms and follow influencers on social channels, for example, to be kept abreast of content we wish to consume. It has never been easier for us to discover and share content online. We can now consume and discover information, news articles, videos, services and products that are relevant to us on whatever channel or format we choose with little or no input ourselves.





Text Analysis API - Sign up





0

Human beings are remarkably adept at understanding each other, given that we speak in languages of our own construction which are merely symbols of the information we’re trying to convey.

We’re skilled at understanding for two reasons. First, we’ve had, literally, millions of years to acquire the necessary skills. Second, we speak in, generally, the same terms, the same languages. Still, it’s an incredible feat, to extract understanding and meaning from such an avalanche of signal.

Consider this: researchers in Japan used the K Computer, currently the fourth most powerful supercomputer in the world, to process a single second of human brain activity.

It took the computer 40 minutes to process that single second of brain activity.

For machines to reach the level of understanding that’s required for today’s applications and news organizations, then, would require those machines to sift through astronomical amounts of data, separating the meaningful from the meaningless. Much like our brains consciously process only a fraction of the information they store, a machine that could separate the wheat from the chaff would be capable of extracting remarkable insights.

We live in the dawn of the computer age, but in the thirty years since personal computing went mainstream, we’ve seen little progress in how computers work on a fundamental level. They’ve gotten faster, smaller, and more powerful, but they still require huge amounts of human input to function. We tell them what to do, and they do it. But what if what we’re truly after is understanding? To endow machines with the ability to learn from us, to interact with us, to understand what we want? That’s the next phase in the evolution of computers.

Enter NLP

Natural Language Processing (NLP) is the catalyst that will spark that phase. NLP is a branch of Artificial Intelligence that allows computers to not just process, but to understand human language, thus eliminating the language barrier.

Chances are, you already use applications that employ NLP:

  • Google Translate: human language translation is already changing the way humans communicate, by breaking down language barriers.
  • Siri and Google Now: contextual services built into your smartphone rely heavily on NLP. NLP is why Google knows to show you directions when you say “How do I get home?”.

There are many other examples of NLP in products you already use, of course. The technology driving NLP, however, is not quite where it needs to be (which is why you get so frustrated when Siri or Google Now misunderstands you). In order to truly reach its potential, this technology, too, has a next step: understand you. It’s not enough to recognize generic human traits or tendencies; NLP has to be smart enough to adapt to your needs.

Most startups and developers simply don’t have the time or the resources to tackle these issues themselves. That’s where we come in. AYLIEN (that’s us) has combined three years of our own research with emerging academic studies on NLP to provide a set of common NLP functionalities in the form of an easy-to-use API bundle.

Announcing the AYLIEN Text Analysis API

The Text API consists of eight distinct Natural Language Processing, Information Retrieval, and Machine Learning APIs which, when combined, allow developers to extract meaning and insight from any document with ease.

Here’s how we do it.

Article Extraction

This tool extracts the main body of an article, removing all extraneous clutter, but leaving intact vital elements like embedded images and video.

image

Article Summarization

This one does what it says on the tin: summarizes a given article in just a few sentences.

image

Classification

The Classification feature uses a database of more than 500 categories to properly tag an article according to IPTC NewsCode standards.

image

Entity Extraction

This tool can extract any entities (people, locations, organizations) or values (URLS, emails, phone numbers, currency amounts and percentages) mentioned in a given text.

image

Concept Extraction

Concept Extractions continues the work of Entity Extraction, linking the entities mentioned to the relevant DBPedia and Linked Data entries, including their semantic types (such as DBPedia and schema.org types).

image

Language Detection

Language Detection, of course, detects the language of a document from a database of 62 languages, returning that information in ISO 639-1 format.

image

Sentiment Analysis

Sentiment Analysis detects the tone, or sentiment, of a text in terms of polarity (positive or negative) and subjectivity (subjective of objective).

image

Hashtag Suggestion

Because discoverability is crucial to social media, Hashtag Suggestion automatically suggests ultra-relevant hashtags to engage audiences across social media.

image

This suite of tools is the result of years of research mixed in with a good, old-fashioned hard work. We’re excited about the future of the Semantic Web, and we’re proud to offer news organizations and developers an easy-to-use API bundle that gets us one step closer to recognizing our vision.

We’re happy to announce that you can start using the Text API from today for free. Happy hacking, and let us know what you think.

Learn more:





Text Analysis API - Sign up





0