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Using NLP to understand how Twitter and the media reacted to the Super Bowl 51 ads battle
Sentiment Analysis of 2.2 million tweets from Super Bowl 51
Using NLP & media monitoring to predict the winners and losers of the Super Bowl 51 ads battle
News API Feature Update: Real-time monitoring
If you love your code, set it free! How and why you should open source your next project
Create an in-depth and intelligent end-of-year review posts using NLP and Text Analysis
Highlights of NIPS 2016: Adversarial Learning, Meta-learning and more
How to build a PR target list using NLP and Machine Learning
Build your own sentiment analysis tool in 10 minutes with AYLIEN Google Sheets Add-on & IFTTT
Web Summit 2016 according to Twitter: Text mining 80,000 tweets
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