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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.”"
        ]
      },
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        "home_page_url": "https://www.thurrott.com/",
        "domain": "thurrott.com",
        "logo_url": "https://www.thurrott.com/wp-content/plugins/powerpress/rss_default.jpg",
        "locations": [],
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        "rankings": {
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      "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.",
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          "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."
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    {
      "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. 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          "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."
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      "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.",
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          "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.",
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      "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]",
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          "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."
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      "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.",
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      "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": {
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          "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."
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        "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.",
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}

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

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

For February, we’re taken a look at the following three news categories;

  1. Arts & Entertainment
  2. Science
  3. Politics

and for each category we have performed the following analysis;

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

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.

Arts & Entertainment

The graph below shows publication volumes in the Arts & Entertainment category throughout the month of February 2017.

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

Volume of stories published: Arts & Entertainment

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. The Academy Awards (aka the Oscars)
  2. The BAFTAs & Grammys take place on the same night
  3. Reviews of Lady Gaga’s performance during the Super Bowl halftime show

It is interesting to note that the Oscars generated more content than both the BAFTAs and Grammys combined.

While sport-related content is not included in this category, we did see a spike in stories mentioning Lady Gaga after her Super Bowl performance in the halftime show. These stories focused mostly on the singer’s performance and her choice of outfits.

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

Read more: We analyzed 2.2 million Super Bowl tweets to gauge public and media reaction to the game itself and the brands/celebrities featuring throughout;

Sentiment Analysis of 2.2 million Super Bowl tweets from Super Bowl 51

Using NLP to understand how Twitter and the media reacted to the Super Bowl 51 ads battle

Most mentioned topics

From the 52,000+ articles we sourced for the Arts & Entertainment category in February we looked at the most mentioned topics;

With three of the biggest award events in the film and music industries taking place in February, it is no surprise to see these two topics as the top two most mentioned.

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

Read more: We looked at the online news media reaction the the 89th Academy Awards;

The Oscars: analyzing 22,000 news stories using Natural Language Processing & Text Analysis

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. 50 Most Popular Women on the Web, Per Google Search Results (ABC News. 152,570 shares)
  2. Adam Levine to Receive Star on Hollywood Walk of Fame (Billboard. 103,658)

LinkedIn

  1. 14 of the Best Brands on Instagram Right Now (HubSpot. 2,158 shares)
  2. PwC issues apology after Oscars best picture envelope mistake (The Guardian. 1,354)

Reddit

  1. Louis C.K. Inks Deal With Netflix for Two Stand-Up Specials (Variety. 32,534 points)
  2. Childish Gambino is ‘definitely’ working with Chance the Rapper (MTC. 20,013 points)

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


Science

We sourced a total of 26,000+ news stories categorized under Science and found that scientific discoveries tend to generate the most news content.

Volume of stories published: Science

Top stories

  1. NASA announce the discovery of 7 Earth-like planets
  2. Scientists turn food poisoning microbe into powerful cancer fighter
  3. Scientists reveal a new 8th continent called ‘Zealandia’

On February 22 NASA were excited to share the news that they had discovered 7 Earth-like planets just 40 light years away that could potentially harbour alien life.

Closer to home, it was discovered that an eighth continent Zealandia existed and that a food poisoning microbe could be turned into a powerful cancer fighter.

Most mentioned topics

Although it didn’t generate quite as much news content as the previously mentioned stories, the drought in California and other parts of the US was evident among the most mentioned topics in the Science category.

Most shared on social media

Facebook

  1. Exxon knew of climate change in 1981, email says – but it funded deniers for 27 more years (The Guardian. 144,647 shares)
  2. Earth Day picked as date for science march on Washington (CNN. 81,870 shares)

LinkedIn

  1. Science Says These Five Things Prove You’re Smart (Forbes. 2,857 shares)
  2. NASA Announces Discovery Of 7 Earth-Sized Planets In Nearby Star System (Real Clear Politics. 1,423 shares)

Reddit

  1. China is now the world’s largest solar power producer (Digital Trends. 52,397 points)
  2. ‘Shell knew’: oil giant’s 1991 film warned of climate change danger (The Guardian. 32,414 points)

Law, Government & Politics

For the Law, Government & Politics category we thought we would try something a little different. The chart below shows two separate volume trends. The red volume represents all 163,000+ stories published in this category in February. 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.

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

Most mentioned topics

Try it yourself – here’s the query we used for category volumes without Trump

With our previous observation in mind, you probably won’t be surprised by the most mentioned topics from the 163,000+ stories published in the Law, Government & Politics category.

Most shared on social media

Facebook

  1. Alabama immigration: crops rot as workers vanish to avoid crackdown (The Guardian. 217,679 shares)
  2. 18 WTF Moments From Trump’s Unhinged Press Conference (Rolling Stone. 113,397 shares)

LinkedIn

  1. It’s official, Narendra Modi is the most followed world leader on Facebook (Quartz. 2,540)
  2. What CEOs say happened in Trump’s closed-door meeting with big pharma (Washington Post. 1,570 shares)

Reddit

  1. US appeals court upholds suspension of Trump travel ban (CNBC. 90,980 points)
  2. Fox News’s ‘Swedish defence advisor’ unknown to country’s military officials (The Guardian. 74,772 points)

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




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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.





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Introduction

We’re just two days away from seeing the Atlanta Falcons and New England Patriots go head to head at Super Bowl 51 in Texas. With an anticipated viewership of over 100 million people, it’s no surprise that some of the world’s biggest brands are pulling out all the stops in an attempt to win a much anticipated off-field battle. We are of course talking about the annual Super Bowl ads battle, where top brands are willing to cough up over $5 million for just 30 seconds of TV airtime.

Sentiment Analysis of tweets from Super Bowl 2016

Last year, we analyzed 1.8 million tweets during Super Bowl 50 to uncover the best, the worst, and the most controversial ads according to Twitter users. Using advanced Sentiment Analysis techniques, we were able to uncover that Amazon’s star-studded effort was the most popular ad at Super Bowl 50, earning the highest volume of positive tweets. PayPal, on the other hand, found themselves at the opposite end of the positivity scale, receiving the highest volume of negative tweets. And the most controversial? We had a clear winner in that category with Mountain Dew’s Puppy Monkey Baby shocking, confusing and amusing viewers in equal measure!

Of course, it’s not all about those 30 seconds of TV airtime. Brands that create something memorable can reap the rewards long after the final whistle has blown. Popular ads can go viral in minutes, with those that fail to impress being left behind and quickly forgotten. Just take a look at the YouTube views for these three brand ads since Super Bowl 50;

YouTube views since Super Bowl 50

With close to 30 million YouTube hits, it’s safe to say that Mountain Dew did pretty well from their wacky creation last year! For PayPal on the other hand, it was back to the drawing board with an expensive disappointment.

Watch: Mountain Dew’s Super Bowl 50 ad “Puppymonkeybaby”

Note: In this post, which is part 1 of a 3 part series, we’re going to focus on the hype surrounding the ads battle in the lead up to big game. Check back for part 2 and 3 where we’ll dive into the in-game reaction on social media and how the brands fared from the press reaction after the event.

The most anticipated ads of Super Bowl 51

This year, as well as once again analyzing millions of tweets to uncover the good, the bad and the ugly among Super Bowl 51 commercials (check back next week for that one!), we thought it would be cool to find out which brands are receiving the most media attention in the lead up to the event.

Using the AYLIEN News API we sourced and analyzed thousands of news stories that mentioned keywords relating to the Super Bowl and the brands that are advertising throughout. From these stories, and using the power of Natural Language Processing in our Text Analysis engine, we were able to uncover which brands have been mentioned most in news stories in the lead up to the event..

The top 15 most mentioned brands

The bubble chart below represents the 15 brands that have received the most mentions in Super Bowl commercial-related news content since January 1. The bigger the bubble, the higher the mentions volume;

Right away we can see a clear leader in Budweiser, who received 50% more mentions than the second most mentioned brand, Pepsi. Why are Budweiser receiving so much attention? Well, much like Mountain Dew last year, controversy is proving to be a key factor, as we’re about to show you.


Want to track mentions and get intelligent, NLP-driven insights into the world’s news content? Sign-up for a free 14 day trial of our News API and get started!

Our top 3 Super Bowl commercials to watch out for

Having uncovered the top 15 most mentioned brands, we thought we would put our necks on the line by selecting three of these brands that we believe will make the biggest splash on social media during Super Bowl 51.

Budweiser

In an attempt to better understand the reasoning behind the hype around Budweiser, we analyzed all news stories mentioning “Super Bowl” and “Budweiser” to see what other topics were present in the collection of articles. From our results we removed keywords relating to the football game itself, as well as obvious brand-related words such as Bud, Anheuser-Busch, beer, etc. The topics that remained quickly gave us an indication of why this ad is proving to be controversial in the US;

Topics extracted from stories mentioning “Super Bowl” and “Budweiser”

Coincidence, or political statement?

Budweiser’s commercial preview, titled Born The Hard Way, shows Adolphus Busch, the co-founder of Anheuser-Busch, arriving in the US from Germany with the dream of opening his beer brewery. With the immigrant-theme of the commercial and opening line of dialogue being “You don’t look like you’re from around here”, the thoughts of political statement quickly spring to mind.

Watch: Budweiser’s Super Bowl ad preview “Born The Hard Way”

Despite Budweiser vice-president, Ricardo Marques, stating that “There’s really no correlation with anything else that’s happening in the country”, news outlets and social media commentators beg to differ, with a strong split in opinion quickly forming. We’re even seeing the spread of #BoycottBudweiser across many tweets.



Whether intentional or not, Budweiser have placed themselves firmly at the center of an fiery debate on immigration, and it will be fascinating to see the public reaction to their main showpiece on Sunday.

Our Budweiser prediction

  • Most controversial ad this year
  • Ad content will be irrelevant, and a political debate will rage on Twitter

Snickers

Snickers will make Super Bowl history this year by being the first brand to perform and broadcast their commercial live during the event.

While Snickers have released a number of small teaser-style previews with a western-theme, we’re still not sure exactly how this one is going to play out.

Watch: Snickers’ Super Bowl ad teaser

With the intrigue of a live performance, as well as the inclusion of superstars like Betty White and Adam Driver, we’re excited to see how this one goes, particularly the reaction on social media.

Live commercial, live Twitter reaction

The world’s first live Super Bowl commercial presents us with the opportunity to track public reaction before, during and after the performance. While we’ll be tracking and analyzing the reaction to all of our top 15 ads, the uniqueness of Snickers’ live commercial brings a whole new level of insight into the tracking of public opinion. Judging by the teasers, it appears that Snickers are going for a wild west-style performance with horses, celebrities and a number of performers.

The big question is, how will social media respond to a real-time, potentially unpolished and unpredictable live performance? We can’t wait to find out!

Our Snickers prediction

  • Live format will inspire and drive high social engagement.
  • A popular cast, inclusion of horses and a fun theme will see Snickers near the top of our most liked ads in terms of positive Twitter sentiment.


Want to track Twitter reactions yourself? Build your own sentiment analysis tool in just 10 minutes. No coding required, and it’s free 🙂

Pepsi

Our second most mentioned brand, Pepsi are investing heavily in Super Bowl 51 with commercials for two products, as well as sponsoring the 12-minute Halftime Show.

For Pepsi, their main aim is to generate awareness around two new products; LIFEWTR and Pepsi Zero Sugar. Have they been successful in this regard so far? While our post-game analysis will give us a better indication of the overall success of their campaign, we can perhaps already say that these two products are being somewhat overshadowed.

Here are the top keywords from stories mentioning “Super Bowl” and “Pepsi”, excluding game-related and obvious brand-related keywords such as Houston, PepsiCo, football, etc.

Topics extracted from stories mentioning “Super Bowl” and “Pepsi”

If you weren’t aware of who was performing during the Super Bowl Halftime Show, now you are! Lady Gaga is absolutely dominating in terms of media mentions, and Pepsi’s high mention volume is most definitely a result of the singer’s involvement in the Halftime Show that they just happen to be sponsoring.

Perhaps worryingly for Pepsi, we saw no mention of LIFEWTR or Pepsi Zero Sugar in our top 100 keyword results.

Watch: Pepsi Super Bowl 51 ad “Inspiration Drops”

Last year, PayPal were accused of playing it safe when it came to their Super Bowl ad. Have Pepsi made the same mistake with LIFEWTR?

Our Pepsi prediction

  • Huge Twitter mention volumes for Pepsi, owing to Lady Gaga’s performance.
  • Low mention volumes for LIFEWTR and Pepsi Zero Sugar.
  • Tame public reaction to LIFEWTR commercial and very low YouTube views.

Who will be the winners and losers at Super Bowl 51?

We’ll be listening to and analyzing news and social media content before, during and after Super Bowl 51 to bring you our annual insights into public and media reaction to both the game itself and the ads battle, so check back next week to find out who were the biggest winners and losers!

Happy Super Bowl weekend to you all 🙂


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Intro

In recent months, we have been bolstering our sentiment analysis capabilities, thanks to some fantastic research and work from our team of scientists and engineers.

Today we’re delighted to introduce you to our latest feature, Sentence-Level Sentiment Analysis.

New to Sentiment Analysis? No problem. Let’s quickly get you up to speed;

What is Sentiment Analysis?

Sentiment Analysis is used to detect positive or negative polarity in text. Also known as opinion mining, sentiment analysis is a feature of text analysis and natural language processing (NLP) research that is increasingly growing in popularity as a multitude of use-cases emerge. Here’s a few examples of questions that sentiment analysis can help answer in various industries;

  • Brands – are people speaking positively or negatively when they mention my brand on social media?
  • Hospitality – what percentage of online reviews for my hotel/restaurant are positive/negative?
  • Finance – are there negative trends developing around my investments, partners or clients?
  • Politics – which candidate is receiving more positive media coverage in the past week?

We could go on and on with an endless list of examples but we’re sure you get the gist of it. Sentiment Analysis can help you understand the split in opinion from almost any body of text, website or document – an ideal way to uncover the true voice of the customer.

Types of Sentiment Analysis

Depending on your specific use-case and needs, we offer a range of sentiment analysis options;

Document Level Sentiment Analysis

Document level sentiment analysis looks at and analyzes a piece of text as a whole, providing an overall sentiment polarity for a body of text.

For example, this camera review;

Screen Shot 2016-11-22 at 17.56.07

receives the following result;

Screen Shot 2016-11-22 at 17.56.14

Want to test your own text or URLs? Check out our live demo.

Aspect-Based Sentiment Analysis (ABSA)

ABSA starts by locating sentences that relate to industry-specific aspects and then analyzes sentiment towards each individual aspect. For example, a hotel review may touch on comfort, staff, food, location, etc. ABSA can be used to uncover sentiment polarity for each aspect separately.

Here’s an example of results obtained from a hotel review we found online;

Screen Shot 2016-11-22 at 17.58.05

Note how each aspect is automatically extracted and then given a sentiment polarity score.

Click to learn more about Aspect-Based Sentiment Analysis.

Sentence-Level Sentiment Analysis (SLSA)

Our latest feature breaks down a body of text into sentences and analyzes each sentence individually, providing sentiment polarity for each.

SLSA in action

Sentence-Level Sentiment Analysis is available in our Google Sheets Add-on and also through the ABSA endpoint in our Text Analysis API. Here’s a sample query to try with the Text Analysis API;

Now let’s take a look at it in action in the Sheets Add-on.

Analyze text

We imported some hotel reviews into Google Sheets and then ran an analysis using our Text Analysis Add-on. Below you will see the full review in column A, and then each sentence in a column of its own with a corresponding sentiment polarity (positive, negative or neutral), as well as a confidence score. This score reflects how confident we are that the sentiment is correct, with 1.0 representing complete confidence.

Screen Shot 2016-11-23 at 17.54.55

Analyze URLs

This new feature also enables you to analyze volumes of URLs as it first scrapes the main text content from each web page and then runs SLSA on each sentence individually.

In the GIF below, you can see how the content from a URL on Business Insider is first broken down into individual sentences and then assigned a positive, negative or neutral sentiment at sentence level, thus providing a granular insight into the sentiment of an article.

SLSA

What’s the benefit of SLSA?

As we touched on earlier, sentiment analysis, in general, has a wide range of potential use-cases and benefits. However, Document-Level Sentiment Analysis can often miss out on uncovering granular details in text by only providing an overall sentiment score.

Sentence-Level Sentiment Analysis allows you to perform a more in-depth analysis of text by uncovering the positive, neutral and negatively written sentences to find the root causes of the overall document-level polarity. It can assist you in locating instances of strong opinion in a body of text, providing greater insight into the true thoughts and feelings of the author.

SLSA can also be used to analyze and summarize a collection of online reviews by extracting all the individual sentences within them that are written with either positive or negative sentiment.

Ready to get started?

Our Text Analysis Add-on for Google Sheets has been developed to help people with little or no programming knowledge take advantage of our Text Analysis capabilities. If you are in any way familiar with Google Sheets or MS Excel you will be up and running in no time. We’ll even give you 1,000 free credits to play around with. Click here to download your Add-on or click the image below to get started for free with our Text Analysis API.

 




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Intro

The 2016 US Presidential election was one of (if not the) most controversial in the nation’s history. With the end prize being arguably the most powerful job in the world, the two candidates were always going to find themselves coming under intense media scrutiny. With more media outlets covering this election than any that have come before it, an increase in media attention and influence was a given.

But how much of an influence does the media really have on an election? Does journalistic bias sway voter opinion, or does voter opinion (such as poll results) generate journalistic bias? Does the old adage “all publicity is good publicity” ring true at election time?

“My sense is that what we have here is a feedback loop. Does media attention increase a candidate’s standing in the polls? Yes. Does a candidate’s standing in the polls increase media attention? Also yes.” -Jonathan Stray @jonathanstray

Thanks to an ever-increasing volume of media content flooding the web, paired with advances in natural language processing and text analysis capabilities, we are in a position to delve deeper into these questions than ever before, and by analyzing the final sixty days of the 2016 US Presidential election, that’s exactly what we set out to do.

So, where did we start?

We started by building a very simple search using our News API to scan thousands of monitored news sources for articles related to the election. These articles, 170,000 in total, were then indexed automatically using our text analysis capabilities in the News API.

This meant that key data points in those articles were identified and indexed to be used for further analysis:

  • Keywords
  • Entities
  • Concepts
  • Topics

With each of the articles or stories sourced comes granular metadata such as publication time, publication source, source location, journalist name and sentiment polarity of each article. Combined, these data points provided us with an opportunity to uncover and analyze trends in news stories relating to the two presidential candidates.

We started with a simple count of how many times each candidate was mentioned from our news sources in the sixty days leading up to election day, as well as the keywords that were mentioned most.

Keywords

By extracting keywords from the news stories we sourced, we get a picture of the key players, topics, organizations and locations that were mentioned most. We generated the interactive chart below using the following steps;

  1. We called the News API using the query below.
  2. We called it again, but searched for “Trump NOT Clinton”
  3. Mentions of the two candidates naturally dominated in both sets of results so we removed them in order to get a better understanding of the keywords that were being used in articles written about them. We also removed some very obvious and/or repetitive words such as USA, America, White House, candidate, day, etc.

Here’s the query;

You can hover your cursor over each cluster to view details;

Most mentioned keywords in articles about Hillary Clinton

Straight away, bang in the middle of these keywords, we can see FBI and right beside it, emails.

Most mentioned keywords in articles about Donald Trump

Similar to Hillary, Trump’s main controversies appear most prominently in his keywords, with terms like women, video, sexual and assault all appearing prominently.

Most media mentions

If this election was decided by the number of times a candidate was mentioned in the media, who would win? We used the following search queries to total the number of mentions from all sources over the sixty days immediately prior to election day;

Note: We could also have performed this search with a single query, but we wanted to separate the candidates for further analysis, and in doing this, we removed overlapping stories with titles that mentioned both candidates.

Here’s what we found, visualized;

Who was mentioned more in the media? Total mentions volume:

It may come as no surprise that Trump was mentioned considerably more than Clinton during this period, but was he consistently more prominent in the news over these sixty days, or was there perhaps a major story that has skewed the overall results? By using the Time Series endpoint, we can graph the volume of stories over time.

We generated the following chart using results from the two previous queries;

How media mentions for both candidates fluctuated in the final 60 days

As you would expect, the volume of mentions for each candidate fluctuates throughout the sixty day period, and to answer our previous question – yes, Donald Trump was consistently more prominent in terms of media mentions throughout this period. In fact, he was mentioned more than Hillary Clinton in 55 of the 60 days.

Let’s now take a look at some of the peak mention periods for each candidate to see if we can uncover the reasons for the spikes in media attention;

Donald Trump

Trump’s peak period of media attention was October 10-13, as indicated by the highest red peak in the graph above. This period represented the four highest individual days of mention volume and can be attributed to the scandal that arose from sexual assault accusations and a leaked tape showing Trump making controversial comments about groping women.

The second highest peak, October 17-20, coincides with a more positive period for Trump, as a combination of a strong final presidential debate and a growing email scandal surrounding Hillary Clinton increased his media spotlight.

Hillary Clinton

Excluding the sharp rise in mentions just before election day, Hillary’s highest volume days in terms of media mentions occurred from October 27-30 as news of the re-emergence of an FBI investigation surfaced.

So we’ve established the dates over the sixty days when each candidate was at their peak of media attention. Now we want to try establish the sentiment polarity of the stories that were being written about each candidate throughout this period. In other words, we want to know whether stories were being written in a positive, negative or neutral way. To achieve this, we performed Sentiment Analysis.

Sentiment analysis

Sentiment Analysis is used to detect positive or negative polarity in text. Also known as opinion mining, sentiment analysis is a feature of text analysis and natural language processing (NLP) research that is increasingly growing in popularity as a multitude of use-cases emerge. Put simply, we perform Sentiment Analysis to uncover whether a piece of text is written in a positive, negative or neutral manner.

Note: The vast majority of news articles about the election will undoubtedly contain mentions of both Trump and Clinton. We therefore decided to only count stories with titles that mentioned just one candidate. We believe this significantly increases the likelihood that the article was written about that candidate. To achieve this, we generated search queries that included one candidate while excluding the other. The News API supports boolean operators, making such search queries possible.

First of all, we wanted to compare the overall sentiment of all stories with titles that mentioned just one candidate. Here are the two queries we used;

And here are the visualized results;

What am I seeing here? Blue represents articles written in a neutral manner, red in a negative manner and green in a positive manner. Again, you can hover over the graph to view more information.

What was the overall media sentiment towards Hillary Clinton?

What was the overall media sentiment towards Donald Trump?

Those of you that followed the election, to any degree, will probably not be surprised by these results. We don’t really need data to back up the claim that Trump ran the more controversial campaign and therefore generated more negative press.

Again, similar to how we previously graphed mention volumes over time, we also wanted to see how sentiment in the media fluctuated throughout this sixty day period. First we’ll look at Clinton’s mention volume and see if there is any correlation between mention volume and sentiment levels.

Hillary Clinton

How to read this graph: The top half (blue) represents fluctuations in the number of daily media mentions (‘000’s) for Hillary Clinton. The bottom half represents fluctuations in the average sentiment polarity of the stories in which she was mentioned. Green = positive and red = negative.

You can hover your cursor over the data points to view more in-depth information.

Mentions Volume (top) vs. Sentiment (bottom) for Hillary Clinton

From looking at this graph, one thing becomes immediately clear; as volume increases, polarity decreases, and vice versa. What does this tell us? It tells us that perhaps Hillary was in the news for the wrong reasons too often – there were very few occasions when both volume and polarity increased simultaneously.

Hillary’s average sentiment remained positive for the majority of this period. However, that sharp dip into the red circa October 30 came just a week before election day. We must also point out the black line that cuts through the bottom half of the graph. This is a trend line representing average sentiment polarity and as you can see, it gets consistently closer to negative as election day approaches.

Mentions Volume (top) vs. Sentiment (bottom) for Donald Trump

Trump’s graph paints a different picture altogether. There was not a single day when his average polarity entered into the positive (green). What’s interesting to note here, however, is how little his mention volumes affected his average polarity. While there are peaks and troughs, there were no major swings in either direction, particularly in comparison to those seen on Hillary’s graph.

These results are of course open to interpretation, but what is becoming evident is that perhaps negative stories in the media did more damage to Clinton’s campaign than they did to Trump’s. While Clinton’s average sentiment polarity remained consistently more positive, Trump’s didn’t appear to be as badly affected when controversial stories emerged. He was consistently controversial!

Trumps lowest point, in terms of negative press, came just after the second presidential debate at the end of September. What came after this point is the crucial detail, however. Trump’s average polarity recovered and mostly improved for the remainder of the campaign. Perhaps critically, we see his highest and most positive averages of this period in the final 3 weeks leading up to election day.

Sentiment from sources

At the beginning of this post we mentioned the term media bias and questioned its effect on voter opinion. While we may not be able to prove this effect, we can certainly uncover any traces of bias from media content.

What we would like to uncover is whether certain sources (ie publications) write more or less favorably about either candidate.

To test this, we’ve analyzed the sentiment of articles written about both candidates from two publications: USA Today and Fox News.

USA Today

Query:

Similar to the overall sentiment (from all sources) displayed previously, the sentiment polarity of articles from USA Today shows consistently higher levels of negative sentiment towards Donald Trump. The larger than average percentage of neutral results indicate that USA Today took a more objective approach in their coverage of the election.

USA Today – Sentiment towards Hillary Clinton

USA Today – Sentiment towards Donald Trump

Fox News

Again, Trump dominates in relation to negative sentiment from Fox News. However, what’s interesting to note here is that Fox produced more than double the percentage of negative story titles about Hillary Clinton than USA Today did. We also found that, percentage-wise, they produced half as many positive stories about her. Also, 3.9% of Fox’s Trump coverage was positive, versus USA Today’s 2.5%.

Fox News – Sentiment towards Hillary Clinton

Fox News – Sentiment towards Donald Trump

Media bias?

These figures beg the question; how are two major news publications writing about the exact same news, with such varied levels of sentiment? It certainly highlights the potential influence that the media can have on voter opinion, especially when you consider how many people see each article/headline. The figures below represent social shares for a single news article;

Screen Shot 2016-11-17 at 09.43.44

Bear in mind, these figures don’t represent the number of people who saw the article, they represent the number of people who shared it. The actual number of people who saw this on their social feed will be a high-multiple of these figures. In fact, we grabbed the average daily social shares, per story, and graphed them to compare;

Average social shares per story

Pretty even, and despite Trump being mentioned over twice as many times as Clinton during this sixty day period, he certainly didn’t outperform her when it came to social shares.

Conclusion

Since the 2016 US election was decided there has been a sharp focus on the role played by news and media outlets in influencing public opinion. While we’re not here to join the debate, we are here to show you how you can deep-dive into news content at scale to uncover some fascinating and useful insights that can help you source highly targeted and precise content, uncover trends and assist in decision making.

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





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About

Complex is a New York-based media platform for youth culture which was founded as a bi-monthly magazine by fashion designer Marc Ecko. Complex reports on trends in style, pop culture, music, sports and sneakers with a focus on niche cultures such as streetwear, sneaker culture, hip-hop, and graphic art. Complex currently reaches over 120 million unique users per month across its owned and operated and partner sites, socials and YouTube channels”

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Background

Digital ad sales is big business. How big? Well, we’re about to see digital ad spending in the US surpass TV for the first time, representing 37% of all US ad spending going in to 2017. That big! For publishers like Complex, engaged visitors means a greater exposure to ads, higher click rates and, as a result, they are able to generate a sustainable revenue stream across their publishing network.

A large, active and engaged target audience is exactly what advertisers like to see. As a result, publishers focus their efforts on providing unique, engaging and relevant content to their readers, which helps keep them active on their site, promotes future return visits and increases brand recognition.

The Challenge

The Complex Media Network welcomes more than 120 million unique visitors each month. Ultimately, the goal is to serve each and every individual user with relevant ads based on the content they are viewing and/or based on a number of other factors such as geographic location, demographic profile, device type, time of day and many more.

Complex offer varied ad-targeting features across their network, enabling ad partners to target readers based on the previously mentioned factors and triggers. However, until recently, they had little to offer partners on contextually placed advertisements.

A contextual advertising system analyzes website text for keywords and returns advertisements to the webpage based on those keywords. For example, if a visitor is reading an article about fashion, they can be targeted with ads for related products or services, such as clothes and sneakers.

The need for digital ads to become contextually relevant is greater than ever before as web users move away from engaging with online advertisements. These stats and figures certainly confirm the challenge faced by online publishers and emphasize the need for more targeted ad campaigns;

  • In a study, only 2.8% of participants thought that ads on websites were relevant to them.
  • A January 2014 study found that 18 to 34 year olds were far more likely to ignore online ads, such as banners and those on social media and search engines, than they were traditional TV, radio and newspaper ads.This is a huge chunk of the Complex target market.
  • The average clickthrough rate of display ads across all formats and placements is just 0.06%
  • Users who are retargeted to are 70% more likely to convert.

In particular, Complex were looking to automate video insertion in articles to help scale views across their sites. They already had an automatic video insertion widget in place, however the information being fed into it was the result of a manual process that ultimately proved to be unreliable. They required an intelligent automation of this process.

The Solution

With up to 70,000 web pages being analyzed on a daily basis, Complex needed to automate their processes by automatically categorizing and tagging articles based on topics, keywords and mentions of specific entities. This data could then be fed into their video insertion widget.

Complex display content-relevant videos towards the end of many of their articles. These videos contain pre-roll ads that are targeted specifically to the reader. For example, I was reading an article about Frank Ocean and at the bottom of this article I was offered a video related to singer.

If I’m reading a story about a certain person or topic, the chances are that I’ll be interested in viewing a related video. When I clicked play I was fed a pre-roll ad about mortgages from a bank here in Ireland. Yep, I’m currently house-hunting so this targeted ad was bang on the money!

Screen Shot 2016-09-21 at 13.38.38

Complex display content-relevant videos towards the end of many of their articles

Endpoints used

Complex are using our Concept Extraction endpoint to extract and disambiguate mentions of celebrities, companies, brands and locations from online content and our Classification endpoint to then categorize this content for indexing among their various publications and channels. Let’s take a closer look at each endpoint and how Complex use them to improve their processes;

Concept Extraction

The Concept Extraction endpoint extracts named entities mentioned in a document, disambiguates and cross-links them to DBpedia and Linked Data entities, along with their semantic types (including DBpedia and schema.org types). By extracting concepts, Complex could easily understand what people, places, organizations and brands are mentioned in the articles they publish and were then able to produce a rich tagging system to assist with their ad targeting.

Here’s an example from our live demo. We entered the URL for an article about rappers Lil Wayne, Birdman and Tyga and received the following results;

Screen Shot 2016-09-20 at 18.22.43

Classification

Originally, Complex were using keywords in their video insertion widget that were manually entered by editors via their CMS. However these proved to be unreliable and insufficient so they decided to automatically extract them using our Classification endpoint.

The Classification endpoint classifies, or categorizes, a piece of text according to your choice of taxonomy, either IPTC Subject Codes or IAB QAG. Complex classify their articles according to IAB QAG.

Using the same article, we analyzed the URL and received the following results;

Screen Shot 2016-09-20 at 18.29.42

The first category returned was Celebrity Fan/Gossip which fits the bill perfectly in this instance. Note how confidence in the other categories gradually declines. While still somewhat relevant, we declare our lack of confidence in them. By providing confidence scores, users can define their own parameters in terms of what confidence levels to accept, decline or review.

“Since working with the AYLIEN Text Analysis API, we have seen great improvement in CTRs on our video widget, which translates to preroll revenue.” – Ronit Shaham, Complex

The outcome

Understanding content at this depth has enabled Complex to place pin-point accurate videos and creative ads throughout their content in a semantic, less intrusive way. The concepts, categories and data points extracted are used to organize this content while being fed into an intelligent contextual ad recommendation engine and video insertion widget, which has led to a significant improvement in Click Through Rates from videos embedded within the content. This increase in CTRs has naturally boosted pre-roll revenues for Complex.

In particular, Complex found the extracted keywords to be most accurate among a number of solutions they trialled, which ultimately led them to choosing the AYLIEN Text Analysis API.

Complex Summary colour (1)

As consumers of online content become more and more immune to the effects of online ads, marketers and publishers are having to find ways to connect with them on a more personal level. Through a combination of data collection, text analysis and machine learning techniques, highly-personalized and targeted ads can now be served instantly, based on the content itself and viewer demographics. This really is a win-win for all involved as the visitor sees useful material, the publisher sees higher CTRs and the advertiser receives more traffic coming in from these clicks.

Wanna learn more semantics in advertising? Check out our blog post – Semantic Advertising and Text Analysis gives more targeted ad campaigns

 




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Introduction

It’s certainly an exciting time be involved in Natural Language Processing (NLP), not only for those of us who are involved in the development and cutting-edge research that is powering its growth, but also for the multitude of organizations and innovators out there who are finding more and more ways to take advantage of it to gain a competitive edge within their respective industries.

With the global NLP market expected to grow to a value of $16 billion by 2021, it’s no surprise to see the tech giants of the world investing heavily and competing for a piece of the pie. More than 30 private companies working to advance artificial intelligence technologies have been acquired in the last 5 years by corporate giants competing in the space, including Google, Yahoo, Intel, Apple and Salesforce. [1]

It’s not all about the big boys, however, as NLP, text analysis and text mining technologies are becoming more and more accessible to smaller organizations, innovative startups and even hobbyist programmers.

NLP is helping organizations make sense of vast amounts of unstructured data, at scale, giving them a level of insight and analysis that they could have only dreamed about even just a couple of years ago.

Today we’re going to take a look at 3 industries on the cusp of disruption through the adoption of AI and NLP technologies;

  1. The legal industry
  2. The insurance industry
  3. Customer service

NLP & Text Analysis in the Legal industry

While we’re still a long long way away from robot lawyers, the current organic crop of legal professionals are already taking advantage of NLP, text mining and text analysis techniques and technologies to help them make better-informed decisions, in quicker time, by discovering key insights that can often be buried in large volumes of data, or that may seem irrelevant until analyzed at scale, uncovering strategy-boosting and often case-changing trends.

Let’s take a look at two examples of how legal pro’s are leveraging NLP and text analysis technologies to their advantage;

  • Information retrieval in ediscovery
  • Contract management
  • Article summarization

Information retrieval in ediscovery

Ediscovery refers to discovery in legal proceedings such as litigation, government investigations, or Freedom of Information Act requests, where the information sought is in electronic format. Electronic documents are often accompanied by metadata that is not found on paper documents, such as the date and time the document was written, shared, etc. This level of minute detail can be crucial in legal proceedings.

As far as NLP is concerned, ediscovery is mainly about information retrieval, aiding legal teams in their search for relevant and useful documents.

In many cases, the amount of data requiring analysis can exceed 100GB, when often only 5% – 10% of it is actually relevant. With outside service bureaus charging $1,000 per GB to filter and reduce this volume, you can start to see how costs can quickly soar.

Data can be filtered and separated by extracting mentions of specific entities (people, places, currency amounts, etc), including/excluding specific timeframes and in the case of email threads, only include mails that contain mentions of the company, person or defendant in question.

Contract management

NLP enables contract management departments to extract key information, such as currency amounts and dates, to generate reports that summarize terms across contracts, allowing for comparisons among terms for risk assessment purposes, budgeting and planning.

In cases relating to Intellectual Property disputes, attorneys are using NLP and text mining techniques to extract key information from sources such as patents and public court records to help give them an edge with their case.

Article summarization

Legal documents can be notoriously long and tedious to read through in their entirety. Sometimes all that is required is a concise summary of the overall text to help gain an understanding of its content. Summarization of such documents is possible with NLP, where a defined number of sentences are selected from the main body of text to create, for example, a summary of the top 5 sentences that best reflect the content of the document as a whole.

NLP & Text Analysis in the Insurance industry

Insurance providers gather massive amounts of data each day from a variety of channels, such as their website, live chat, email, social networks, agents and customer care reps. Not only is this data coming in from multiple channels, it also relates to a wide variety of issues, such as claims, complaints, policies, health reports, incident reports, customer and potential customer interactions on social media, email, live chat, phone… the list goes on and on.
The biggest issue plaguing the insurance industry is fraud. Let’s take a look at how NLP, data mining and text analysis techniques can help insurance providers tackle these key issues;

  • Streamline the flow of data to the correct departments/agents
  • Improve agent decision making by putting timely and accurate data in front of them
  • Improve SLA response times and overall customer experience
  • Assist in the detection of fraudulent claims and activity

Streamlining the flow of data

That barrage of data and information that insurance companies are being hit by each and every day needs to be intricately managed, stored, analyzed and acted upon in a timely manner. A missed email or note may not only result in poor service and an upset customer, it could potentially cost the company financially if, for example, relevant evidence in a dispute or claim case fails to surface or reach the right person/department on time.

Natural Language Processing is helping insurance providers ensure the right data reaches the right set of eyeballs at the right time through automated grouping and routing of queries and documents. This goes beyond simple keyword-matching with text analysis techniques used to ‘understand’ the context and category of a piece of text and classify it accordingly.

Fraud detection

According to a recent report by Insurance Europe, detected and undetected fraudulent claims are estimated to represent 10% of all claims expenditure in Europe. Of note here, of course, is the fraud that goes undetected.

Insurance companies are using NLP and text analysis techniques to mine the data contained within unstructured sources such as applications, claims forms and adjuster notes to unearth certain red flags in submitted claims. For example, a regular indicator of organized fraudulent activity is the appearance of common phrases or descriptions of incidents from multiple claimants. The trained human eye may or may not be able to spot such instances but regardless, it would be a time consuming exercise and likely prone to subjectivity and inconsistency from the handler.

The solution for insurance providers is to develop NLP-powered analytical dashboards that support quick decision making, highlight potential fraudulent activity and therefore enable their investigators to prioritise cases based on specifically defined KPIs.

NLP, Text Analysis & Customer Service

In a world that is increasingly focused on SLAs, KPIs and ROIs, the role of Customer Support and Customer Success, particularly in technology companies, has never been more important to the overall performance of an organization. With the ever-increasing number of startups and innovative companies disrupting pretty much every industry out there, customer experience has become a key differentiator in markets flooded with consumer choice.

Let’s take a look at three ways that NLP and text analysis is helping to improve CX in particular;

  • Chat bots
  • Analyzing customer/agent interactions
  • Sentiment analysis
  • Automated routing of customer queries

Chat bots

It’s safe to say that chat bots are a pretty big deal right now! These conversational agents are beginning to pop up everywhere as companies look to take advantage of the cutting edge AI that power them.

Chances are that you interact with multiple artificial agents on a daily basis, perhaps even without realizing it. They are making recommendations as we online shop, answering our support queries in live chats, generating personalized fitness routines and communicating with us as virtual assistants to schedule meetings.

Screen Shot 2016-09-16 at 12.21.48

A recent interaction I had with a personal assistant bot, Amy
Chat bots are helping to bring a personalized experience to users. When done right, not only can this reduce spend in an organization , as they require less input from human agents, but it can also add significant value to the customer experience with intelligent, targeted and round-the-clock assistance at hand.

Analyzing customer/agent interactions

Interactions between support agents and customers can uncover interesting and actionable insights and trends. Many interactions are in text format by default (email, live chat, feedback forms) while voice-to-text technology can be used to convert phone conversations to text so they can be analyzed.

Listening to their customers

The voice of the customer is more important today than ever before. Social media channels offer a gold mine of publicly available consumer opinion just waiting to be tapped. NLP and text analysis enables you to analyze huge volumes of social chatter to help you understand how people feel about specific events, products, brands, companies, and so on.

Analyzing the sentiment towards your brand, for example, can help you decrease churn and improve customer support by uncovering and proactively working on improving negative trends. It can help show you what you are doing wrong before too much damage has been done, but also quickly show you what you are doing right and should therefore continue doing.

Customer feedback containing significantly high levels of negative sentiment can be relayed to Product and Development teams to help them focus their time and efforts more accordingly.

Because of the multi-channel nature of customer support, you tend to have customer queries and requests coming in from a variety of sources – email, social media, feedback forms, live chat. Speed of response is a key performance metric for many organizations and so routing customer queries to the relevant department, in as few steps as possible, can be crucial.

NLP is being used to automatically route and categorize customer queries, without any human interaction. As mentioned earlier, this goes beyond simple keyword-matching with text analysis techniques being used to ‘understand’ the context and category of a piece of text and classify it accordingly.

Conclusion

As the sheer amount of unstructured data out there grows and grows, so too does the need to gather, analyze and make sense of it. Regardless of the industry in which they operate, organizations that focus on benefitting from NLP and text analysis will no doubt gain a competitive advantage as they battle for market share.

 


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We help our users understand and classify content so they can extract insight from it. Being able to classify and tag content like news articles, blogs and web pages allows our users to manage and categorize content effectively and more importantly at scale. Up until now we’ve offered two forms of content classification/categorization, one based on IPTC Subject Codes specifically useful for our news and media customers and the second, a flexible tagging feature based on Semantic Labeling for those who wish to apply custom labels to text.

From today on, however, we’ll offer a third classification feature that’s primarily focused on providing an advertising focused classification method. This allows our Ad Tech users to tag and categorize text based on Interactive Advertising Bureau (IAB) standards.

We’re super excited about our IAB classification feature which categorizes content based on the IAB Quality Assurance Guidelines. This classification feature automatically categorizes text based into hierarchical groups based on the IAB quality assurance guideline taxonomy thus providing easily referenceable and usable tags of which you can see examples of below.

IAB QAG Taxonomy

The IAB QAG contextual taxonomy was developed by the IAB in conjunction with taxonomy experts from academia, ad measurement companies, and members of the IAB Networks & Exchanges Committee in order to define content categories on at least two different tiers, making content classification a lot more consistent across the advertising industry. The first tier being a broad level category and the second a more detailed description or more specifically a root and leaf type structure.

Example Article:

Results:

"categories": [
  {
      "leaf": {
          "confidence": 0.07787707145827048,
          "id": "IAB2-10","label":
          "Automotive>Electric Vehicle"},
      "root": {
          "confidence": 0.6789603849779564,
          "id": "IAB2","label":
          "Automotive>"
          }
      }

]

IAB classification was the most requested feature addition we’ve had over the last 6 months. As more and more companies invest in online advertising, publishers, agencies, ad networks and brands all want to be sure their ads are being displayed in the best place possible.

More Accurate Content Tagging = Better Ad Targeting

Using automatically generated IAB certified labels means, our users can intelligently categorize large amounts of content, retrospectively or in near real time, to intelligently understand and tag content. These tags can then be used to improve how content is managed and where ads are placed using intelligent semantic/contextual driven targeting powered by the IAB approved taxonomy ensuring ad impressions are displayed in the right place at the right time.

Building our classifier on the IAB QAG taxonomy means it is a lot easier for our users to build solutions and applications that conform to industry standards and integrate well with Ad Tech solutions like Open RTB, ad exchanges and platforms.

We’ve also updated our SDKs to make it quick and easy to get up and running. Check out our live IAB demo or visit our documentation to see how easy it is to start classifying text according to the IAB guidelines.





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