Summarizing evaluative information on the web for information credibility analysis

  • Authors:
  • Daisuke Kawahara;Tetsuji Nakagawa;Takuya Kawada;Kentaro Inui;Sadao Kurohashi

  • Affiliations:
  • National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan;National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan;National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan;Nara Institute of Science and Technology, Ikoma, Nara, Japan;Kyoto University, Sakyo-ku, Kyoto, Japan

  • Venue:
  • Proceedings of the 3rd International Universal Communication Symposium
  • Year:
  • 2009

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Abstract

The World Wide Web comprises a wide variety of evaluative information. It consists of positive and negative opinions on innumerable topics from various perspectives, thus proving to be a useful information source for information credibility analysis. To present an informative and at-a-glance summary of any topic that a user of such an analysis system searches for, it is important to summarize many diverse evaluative expressions on the topic. In this paper, we describe a method for summarizing an extensive variety of evaluative expressions that are automatically extracted.