Track Down of User Interest Based on Tweets

The Sentiment analysis deals with identifying and classifying the opinions or sentiments expressed in form of text. Recently Social media have gained more attention. Public and private opinions about varied subjects are expressed and spread continually via numerous social media. Twitter is one of the social media that is gaining popularity. Thus the twitter is widely used for analyzing the sentiment of the huge groups. It is difficult to perform sentiment analysis in twitter in comparison with general sentiment analysis since the twitter contains many special characters, symbols, slang words and also has the limitation of 140 words. Knowledge base approach and Machine Learning approach are the two paths for analyzing the text. This paper proposes the sentiment analysis that can spot the interest and opinion of people in regard to the products such as e-Commerce sites, visualization tools, mobile products and network operators. This also includes the feature of classification of tweets into positive, negative and neutral based on the opinion of the people.