Blog Topic Detection Based on the Model

Abstract

Constructing and updating model from blog is also the process of topic detection and tracking, then, a detecting method of topics on blog based on model is proposed. It includes the use of measuring method Based on the event information to cluster for post and topic information to cluster event set (blog) which is combined with semantic vector space model, the use of the main idea of information granularity of topic detection and tracking algorithm has to be used and improved in order to generate the final clustering. The experimental results show that the algorithm has an accurate result in blog topic detection