Sentiment Analysis of Twitter and Facebook Posts in NLP using Naïve Bayes Classifier

Abstract: The way in which people emote, express, share, opine thoughts have drastically changed in the past few decades, thanks to the Internet. Nowadays people can relentlessly express their thoughts, opinions on a social media platform, forums, product review sections, comment sections, online survey portals, etc., and the list is endless in the world of Internet. More importantly the major chunk of sentiments comes from social media platforms like Twitter and Facebook due to having a large number of daily active users under their belt.

Keywords: Sentiment analysis, Twitter, Facebook, Naïve Bayes Classifier, Social networks, classification and opinion.