Credibility Analysis of Comments of Virtual Community Based on Text Similarity Computing

With the maturity of Web2.0, information exchange and information sharing have reached an unprecedented breadth and depth, which also provide a good condition for the spreading of false information in virtual communities. Through the collection and analysis of a large number of comments of virtual communities, this paper presents a solution of credibility analysis of comments of virtual community based on text similarity computing in order to quickly find a virtual community that false information may exist, and which can be the basis that helps organizations and individuals making decisions correctly; at the same time it also gives some advice for virtual community supervisors to manage their virtual communities.