Presentation 2004/7/7
A Consideration of Extracting Reputations and Evaluative Expressions from the Web
Shigeru FUJIMURA, Masashi TOYODA, Masaru KITSUREGAWA,
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Abstract(in English) Automatic extraction of reputations from huge information of the Web is much attentioned. Extracted reputations can be utilized for marketing, claim management in companies and decision support in customers. But, because of subjective aspects of repuattions, extracting reputations is not so easy. This paper describes a reputation classifying method based on statistic extracting evaluative keywords. Then, extracting opinions which include in reputation can be also realized by expansion of this method. We also introduce our system of extracting reputation. In the process of making this system, it turns out that there are various problems. So, we make a report of consideration about these problems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Reputation / Document Classification / Text Mining
Paper # DE2004-72
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Committee DE
Conference Date 2004/7/7(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Consideration of Extracting Reputations and Evaluative Expressions from the Web
Sub Title (in English)
Keyword(1) Reputation
Keyword(2) Document Classification
Keyword(3) Text Mining
1st Author's Name Shigeru FUJIMURA
1st Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo()
2nd Author's Name Masashi TOYODA
2nd Author's Affiliation Institute of Industrial Science, The University of Tokyo
3rd Author's Name Masaru KITSUREGAWA
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo
Date 2004/7/7
Paper # DE2004-72
Volume (vol) vol.104
Number (no) 177
Page pp.pp.-
#Pages 6
Date of Issue