Title :
Web News Summarization via Soft Clustering Algorithm
Author_Institution :
Sch. of Politics & Law & Public Adm., Hubei Univ., Wuhan, China
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.838
