DocumentCode
1654174
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
Volume
1
fYear
2010
Firstpage
540
Lastpage
543
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6931-4
Type
conf
DOI
10.1109/ICAMS.2010.5553112
Filename
5553112
Link To Document