Using Social Intelligence for New Event Detection in Microblog Stream

New event detection from microblog has a very practical significance for people who would like be aware of events in the first place. Although it is a traditional task of TDT, most of the state-of-the-art approaches are not designed for microblog, so they could not take full advantages of the social media, such as users and their relationships. In this paper, we propose an on-line method to detect new events from microblog stream. We establish the Individual Language/Memory model (ILM Model) to formalize the social intelligence of users, using their knowledge help us find out new events. The experiment on our corpus collected from Chinese microblog, shows the effectiveness of our model.