UpdateNews: a news clustering and summarization system using efficient text processing

Authors:
Takaharu Takeda;Atsuhiro Takasu
Affiliations:
Graduate University for Advanced Studies, 2-1-2 Hitotsubashi, Chiyoda, Japan;National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda, Japan
Venue:
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Year:
2007

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Abstract

This paper proposes a news articles clustering and summarization system. It provides integrated access to news articles from various news sites. The system consists of a crawler, topic detector, and summarizer. This paper describes its efficient summarization technique to handle large amounts of crawled news articles.