Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 469-471.doi: 10.11896/j.issn.1002-137X.2016.11A.105

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New Method of Microblog Classification Based on Feature Weighted Language Model

CUI Wei-na   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Microblog as a new social media has been rapid development.Microblog rapid development brings convenience to people at the same time,also makes people swimming in the ocean of information.Aiming at the increase in microblog presented the problem of information overload,microblog retrieval has become an important research topic.For microblog retrieval,this paper proposed a new microblog retrieval method based on feature weighted language model,and this method is mainly used in microblog statistical characteristics and semantic characteristics of combined to solve the retrieval problem of the microblog.Experiments were performed on the real annotation data set extracted from sina microblog,and the comparative experimental results show that the proposed method is an effective retrieval method.

Key words: Microblog,Microblog classification,Language model

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