Title :
News clustering system based on text mining
Author :
Li, Ji-rui ; Yang, Kai
Author_Institution :
Inf. Eng. Dept., Henan Vocational & Tech. Inst., Zhengzhou, China
Abstract :
Clustering displaying about News articles and summaries is the final result in automatical retrieve of news information. News clustering related to the automatic capture of news content, information processing and extraction, automatic classification, cluster analysis and display, etc. This paper presents the news clustering system to solve a number of issues which show in the current information retrieval involved in the Chinese word search, and uses a number of improved algorithms in system module.
Keywords :
information resources; information retrieval; natural language processing; text analysis; Chinese word search; information retrieval; news articles; news clustering; text mining; Information classification; Text clustering; the participle; tract Data;
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6931-4
DOI :
10.1109/ICAMS.2010.5553112
