Analysis of User Behavior Based on Tweets

Microblogging today has turned into an exceptionally well known specialized communication tool among Internet users. A great many messages are seeming day by day in well-known sites that give administrations to microblogging, for example, Twitter, Tumblr, and Facebook. Sentiment analysis can be an extremely valuable viewpoint for the extraction of helpful data from text documents. The main idea for sentiment analysis is how people think for a particular online review i.e. product review, movie review etc. Sentiment analysis is the process where these reviews are classified as positive or negative. In our paper we are deciding polarity in seven different categories like Strongly Negative, Weakley Negative, Negative, Strongly Positive, Weakley Positive, Positive and Neutral. The machine learning algorithm is used in determining the polarity of the tweets.

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