DocumentCode
2768363
Title
Web News Summarization via Soft Clustering Algorithm
Author
Wu, Jianwu
Author_Institution
Sch. of Politics & Law & Public Adm., Hubei Univ., Wuhan, China
Volume
7
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
618
Lastpage
621
Abstract
As the information available on the internet is growing explosively, this paper proposed a new method of web news summarization via sentence clustering algorithm. It adopted cluster algorithm to cluster all the sentences. Feature fusion will be used to extract summary sentences. Experimental result shows that the proposed summarization method can improve the performance of summary.
Keywords
Internet; document handling; information retrieval; pattern clustering; Internet; Web news summarization; feature fusion; sentence clustering algorithm; soft clustering algorithm; Clustering algorithms; Clustering methods; Data mining; Fuzzy systems; Internet; Iterative algorithms; Labeling; Matrix decomposition; Search engines; Statistics; Clustering algorithm; Feature fusion; Sentences; Web news summary;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.838
Filename
5360083
Link To Document