Presentation 2005-01-24
Discovery of the Fashion-subject Based on the Link Information on Electronic Bulletin Board
Ryosuke OKUBO, Daisuke KATAGAMI, Katsumi NITTA,
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Abstract(in English) The purpose of this research is to grasp the subject which attracts attention for the electronic bulletin board now at low cost, and predict the subject in fashion in the near future. The approach based on link information is proposed as a technique analyzing propagation of the subject on an electronic bulletin board. We classify the pattern of propagation and measure the fashion degree of the subject by extracting link information which appears during contribution and investigating how it spreads. The class classification by Support Vector Machine realized prediction with strange subject in fashion. the to verify the validity of this technique with known collected fashion-subjects.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Information Retrieval / Support Vector Machine (SVM) / BBS
Paper # KBSE2004-25
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Conference Information
Committee KBSE
Conference Date 2005/1/17(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Discovery of the Fashion-subject Based on the Link Information on Electronic Bulletin Board
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) Support Vector Machine (SVM)
Keyword(3) BBS
1st Author's Name Ryosuke OKUBO
1st Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology()
2nd Author's Name Daisuke KATAGAMI
2nd Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
3rd Author's Name Katsumi NITTA
3rd Author's Affiliation Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
Date 2005-01-24
Paper # KBSE2004-25
Volume (vol) vol.104
Number (no) 587
Page pp.pp.-
#Pages 6
Date of Issue