Online Identification of Real World Events from Twitter

Abstract: Recently the size and popularity of social media is rising. System which extracts the useful information is growingly needed. Social media is using for sharing reviews on real time events by people. So, Public using twitter for posting the massages which are related to the events takes place in real time. Descriptive and collective keywords are used of characterizing the stories and events. Here, the purpose is to distinguish between the real-world events and non event posts. This approach is based on aggregate statistics of topical similar post cluster.

Keywords: Identification of events, Twitter, Features extraction, Clustering, Real world event.