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 Japanese) | (See Japanese page) |
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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Committee | KBSE |
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Conference Date | 2005/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Knowledge-Based Software Engineering (KBSE) |
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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 |