| Presentation | 2012-02-03 Complaint sentence detection via automatic training data generation using sentiment lexicons and context coherence Yusuke UMEZAWA, Takashi INUI, Mikio YAMAMOTO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | By the spread of the web in recent years, the reviews about products and services exist in large quantities on the web. If we can detect complaints from such reviews, they are valuable as information for users to prevent disadvantage and for companies to improve products. In this study, using sentiment lexicons and context coherence, we propose a method to generate training data tagged on from a large amount of reviews in large quantities on the web. Experiments of complaint sentence detection using a classifier trained the data. As a result of experiments, it was shown that the classifier is higher performance than using handmade but small training data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | sentiment lexicons / context coherence / automatic training data generation / complant |
| Paper # | NLC2011-64 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2012/1/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (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) | Complaint sentence detection via automatic training data generation using sentiment lexicons and context coherence |
| Sub Title (in English) | |
| Keyword(1) | sentiment lexicons |
| Keyword(2) | context coherence |
| Keyword(3) | automatic training data generation |
| Keyword(4) | complant |
| 1st Author's Name | Yusuke UMEZAWA |
| 1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
| 2nd Author's Name | Takashi INUI |
| 2nd Author's Affiliation | Systems and Information, University of Tsukuba |
| 3rd Author's Name | Mikio YAMAMOTO |
| 3rd Author's Affiliation | Systems and Information, University of Tsukuba |
| Date | 2012-02-03 |
| Paper # | NLC2011-64 |
| Volume (vol) | vol.111 |
| Number (no) | 427 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |