Sentiment Analysis of Social Media Data

ABSTRACT: Social media networks have received wide attention today. Now a days they have become the main origin of user generated content. Analysis of this user generated content resulted wide applications like Sentiment Analysis(SA), Event detection, Forecasting systems, Topic modeling, Crowd-sourcing, Spam detection etc. In this project tweets on "Demonetization" have been collected using Twitter Streaming Application Programming Interface (API). Naive Bayes, Maximum Entropy Classifiers are used to analyze the tweets. ON comparing the results we observed that Maximum Entropy classifier gives better results than Naive bayes classifier. Keywords: R programming, data analytics, SA, Demonetization in India