Hot topics detected from micro-bloggings based on word co-occurrence model

Micro-blogging services are used by millions of people around the world to get information and express their opinions. Detecting hot topics from Chinese micro-bloggings has vast importance to discovering rumors and guiding public opinion. In order to solve the problem of massive pieces of information on micro-bloggings platform and the feature of micro-bloggins content such as short text, in this paper a model is put forward to detect hot topics from Chinese micro-bloggings based on word co-occurrence model. The experimental results show the model can efficiently detect hot topics from Chinese micro-bloggings.