Event mining from the blogosphere using topic words

Yoshihiko Suhara, Hiroyuki Toda, Akito Sakurai

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

In this paper, we propose a method of extracting "action relations" between related topic words from Japanese weblogs (blogs). An action relation is a tuple of agent, target and predicate. Our method obtains blog articles that contain two keywords by AND search and outputs action relations constructed from the predicate and the two keywords with case particles that follow. However, since words are often omitted after they appear once, sentences with both of the keywords are scarce. Our method overcomes this problem by combining sentences that contain the common predicate and locate nearby.

Original languageEnglish
Publication statusPublished - 2007 Dec 1
Event2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO, United States
Duration: 2007 Mar 262007 Mar 28

Other

Other2007 International Conference on Weblogs and Social Media, ICWSM 2007
CountryUnited States
CityBoulder, CO
Period07/3/2607/3/28

Keywords

  • Information extraction
  • Relation extraction
  • Web mining

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Suhara, Y., Toda, H., & Sakurai, A. (2007). Event mining from the blogosphere using topic words. Paper presented at 2007 International Conference on Weblogs and Social Media, ICWSM 2007, Boulder, CO, United States.