Title :
The research on the automatic generation of micro-blog user tags based on clustering analysis
Author :
Lv Haiyan ; Che Xiaowei ; Ren Ying
Author_Institution :
Naval Aeronaut. & Astronaut. Univ., Yantai, China
Abstract :
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.
Keywords :
Web sites; information retrieval; pattern clustering; text analysis; TextRank; automatic generation method; baseline system; cluster technology; clustering analysis; microblog user tags; synonymy tags stack; user interest; Blogs; Clustering algorithms; Clustering methods; Educational institutions; Mutual information; Semantics; Tagging; Cluster Analysis; Tags for Micro-blog Users; TextRank;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933648
