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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2004/7/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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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 |