Abstract:

Blog is one of the most important carriers for public opinions, and how to automatically detect emergent events of the blog has an important research value for analyzing and diverting public opinions. Because the false emergent events can be detected by ambiguous temporal information, this paper presents a blog emergent event detection method based on temporal distribution. This method can  determine whether there are emergency and relevance between events and temporal information through the peak detection and calculating the difference of temporal distribution between the event documents and the background corpus documents, and between eventrelevant documents and eventirrelevant documents. The experimental results show that the method can effectively detect emergent events in the blog, and can effectively remove the false emergent events which have ambiguous temporal information.

Key words: temporal distribution;KullbackLeibler divergence;temporally unambiguous event;temporally ambiguous event