A Literature Review on Analysis of Sentiments using Twitter Data

Analysis of sentiments is also known as Opinion mining. The foremost purpose of applying opinion mining is to detect the behaviour, mood and attitude of the user. As social sites have taken an important place in people's lives, sentiment analysis is used to study the reactions of users in different areas such as politics, economy, finance and sociology. As the number of views or reviews, about various things, being shared by people on microblogging sites has increased, performing Sentiment Analysis of the same has been popularized in order to find out whether the engagement of the same is positive, negative or neutral and assess their product or new launches accordingly. In this paper I'm trying to review the work done for the same by data mining from Twitter by using different popular techniques.