Presentation | 2008-02-07 Use of Syntactic Pieces to Extract Opinions Without Identifying Domains Suguru AOKI, Kazuhide YAMAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a opinion extraction method using a notion of syntactic piece. Syntactic piece is a minimum unit of structure. It is easy to use like n-gram and it has a part of syntactic structure. In the task of opinion extraction, syntactic piece can be high accuracy classification. Because, it contain both object of evaluation and sentiment expression. Therefore, we do not need to make dictionary for each domain. First, we made syntactic piece dictionary tagged positive or negative using training data, and classified sentence. Next, we generalized and extended dictionary to improve recall. As the result, the system performed 80% precision and 50% recall for multiple domains. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | syntactic piece / opinion extraction / domain dependency / sentence classification |
Paper # | NLC2007-88 |
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Committee | NLC |
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Conference Date | 2008/1/31(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Use of Syntactic Pieces to Extract Opinions Without Identifying Domains |
Sub Title (in English) | |
Keyword(1) | syntactic piece |
Keyword(2) | opinion extraction |
Keyword(3) | domain dependency |
Keyword(4) | sentence classification |
1st Author's Name | Suguru AOKI |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Kazuhide YAMAMOTO |
2nd Author's Affiliation | Nagaoka University of Technology |
Date | 2008-02-07 |
Paper # | NLC2007-88 |
Volume (vol) | vol.107 |
Number (no) | 480 |
Page | pp.pp.- |
#Pages | 6 |
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