Social Network and Sentiment Analysis on Twitter

The growth of web technology produces huge volumes of data in the web. Internet provides a platform for sharing opinions & sharing ideas. Social networking sites are rapidly gaining popularity as they allow people to discuss with different communities and post messages across the world. Twitter is the most widely used site where people can share their reviews in the form of tweets. It provides richer content of sentiment and opinions of popular topics. Opinions are categorized into positive, negative or neutral. It is very useful where the company wants the feedback about their product. This paper focuses different information analysis techniques, ranking & classifying tweeter user, fuzzy logic based sentiment classification and analysis of sentiment.