US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.
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Updated
May 25, 2018 - HTML
US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.
API for text quality analysis, personal information extraction, data cleaning, toxic comments classification, toxic comments remover, gibberish data identification and much more.
🛒Sentiment Analysis of Digikala, Artificial Intelligence course, University of Tehran
This Project is part of my MSc. In Digital Marketing and Data Science Thesis at emlyon business school
US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016 implemented in Java.
Resources generated for the analysis of the HappyDB corpus
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Search for Tweets and the data labeled with it's Polarity
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