Real-time Twitter Sentiment Analysis using 3-way classifier

Sentiment analysis or opinion mining is a critical issue where a huge amount of information related to user's opinion widespread in all counties in the world. This paper presents an online system for real-time twitter sentiment analysis and classification. The proposed system helps users to enter the query and get a graphical representation of the tweets polarity. Out of various classification algorithms, Simple Voter and Naive Bayes algorithms have been used to classify tweets. The obtained results show that the accuracy of the system is efficient using Naive Bayes classifier.