Title
News Filtering and Summarization on the Web
Abstract
The news filtering and summarization (NFAS) system can automatically recognize Web news pages, retrieve each news page's title and news content, and extract key phrases. This extraction method substantially outperforms methods based on term frequency and lexical chains.
Year
DOI
Venue
2010
10.1109/MIS.2010.11
IEEE Intelligent Systems
Keywords
Field
DocType
information summarization,extraction method,term frequency,key phrase,word processing,web news page,information retrieval,information filtering,news summarization system,news filtering system,key phrase extraction,lexical chain,news filtering,web sites,web news,news content,intelligent systems,data mining,news page,classification,text analysis,feature extraction,web pages
Automatic summarization,Multi-document summarization,World Wide Web,Web page,Information retrieval,Computer science,Filter (signal processing),Feature extraction,Content management,Word processing,The Internet
Journal
Volume
Issue
ISSN
25
5
1541-1672
Citations 
PageRank 
References 
11
0.73
5
Authors
7
Name
Order
Citations
PageRank
Xindong Wu18830503.63
Gong-Qing Wu213613.07
Fei Xie31019.98
zhu zhu4110.73
Xuegang Hu544244.50
hao lu6375.58
huiqian li7110.73