The research on the automatic generation of micro-blog user tags based on clustering analysis

The main research is the automatic generation of micro-blog user tags based on cluster analysis. Key technologies used in this paper are introduced firstly; mainly include cluster technology and TextRank. A Baseline system is proposed in order to show the validity of the research proposed by this paper. Then the automatic generation method based on clustering analysis is illustrated detailedly. Finally analyze and evaluate the method by experiments. The experimental results show that the user tags generated by the method can solve the problem of synonymy tags stack, and the tags can reflect the users´ interest in more dimensions.