News Filtering and Summarization on the Web

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.

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE intelligent systems 2010-09, Vol.25 (5), p.68-76
Hauptverfasser:	Wu, Xindong, Wu, Gong-Qing, Xie, Fei, Zhu, Zhu, Hu, Xue-Gang
Format:	Artikel
Sprache:	eng
Schlagworte:	Access control Applied sciences Artificial intelligence Automation classification Computer science Computer science control theory systems Computer systems and distributed systems. User interface Data mining Educational institutions Electronic mail Exact sciences and technology Extraction Filtering Filtering software Filtration Frequency Information communication Information filtering Information filters information summarization Intelligent systems Internet News Software Speech and sound recognition and synthesis. Linguistics System theory Uniform resource locators Web news Web pages World Wide Web
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Beschreibung
Zusammenfassung:	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.
ISSN:	1541-1672 1941-1294
DOI:	10.1109/MIS.2010.11