Clustering and Summarization of Tweet Streams

The tweets are the short messages which are posted usually on the social networking sites such as twitter, facebook, tumblr and weiboetc on different blogs as well. The various real time and real life information are shared via tweets. They may or may not be changed over a period of time. As the number of events are taking place at a different time. In this case, the detection of the event is one of the difficult task. The events may be in the very large numbers. The four types of operations are taking place namely creating, splitting, absorbing and at last merging. These may be very useful in detecting the current occurring events. To detect the current event the following procedure takes place , which are tweet stream clustering for clustering of the large amount of tweets after that the tweets are summarized by using the tweet stream summarization algorithm and at last the current event detection method is used to get the current event form the recent events going on via tweet streams. Here the efficiency plays an important role. It is shown by a graph which shows the relation between the number of tweets and the number of days.