LDA-Based Opinion Spam Discovering
Hongfei Lin · Zhongwen xinxi xuebao · 2011
As well-known,Blog has become one of the main information sources on the Internet,and the opinion spam also grows fantastically in Blog.The paper focuses on identifying the opinion spam.Firstly,it adopts the method of email spam identification.Considering the characteristics of Blog,it establishes the rules of comments to filter the opinion spam,and then it utilizes the Latent Dirichlet Allocation Model(LDA) to extract the topics information from text content in Blog.Finally,with the topics information integrated,it judges the opinion whether spam or not.Experiments prove it can identify most of the spam opinions,effectively bringing more accurate and efficient Blog information for users.