Classification of information in a twitter stream

Social media has become an important mode of transfer of information across the individuals. Twitter is one such social media platform where individuals and corporations share information with public. Tweeting patterns can give important information about the context. In this paper we have proposed a mechanism that can be used to categorize the information flowing across the Twitter streams. We have used the proposed mechanism on a real dataset and reported our results. We also look at the velocity of retweets and its growth and decay during the life of a tweet.