Presentation | 2008-02-08 Discriminative topic-sentiment analysis from unsupervised topic corpora Kugatsu SADAMITSU, Takahiro FUKUTOMI, Mikio YAMAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Topic information included in reviews can be beneficially used in sentiment analysis, and this paper proposes a method of performing sentiment analysis wherein topics are automatically differentiated even with review data without topic labels. Probabilistic Latent Semantic Analysis (PLSA) is used to model topic structure and then a model of sentiment words specific to the topic obtained so that accuracy of analysis is improved upon. When training the model, polarity posterior for each word are introduced to perform discriminative training in order that the topic information can be shared between polarities. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sentiment Analysis / topic models / PLSA / discriminative training / polarity posterior |
Paper # | NLC2007-97 |
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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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Topics (in Japanese) | (See Japanese page) |
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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) | Discriminative topic-sentiment analysis from unsupervised topic corpora |
Sub Title (in English) | |
Keyword(1) | Sentiment Analysis |
Keyword(2) | topic models |
Keyword(3) | PLSA |
Keyword(4) | discriminative training |
Keyword(5) | polarity posterior |
1st Author's Name | Kugatsu SADAMITSU |
1st Author's Affiliation | Graduate School of Systems and Information Engineering University of Tsukuba() |
2nd Author's Name | Takahiro FUKUTOMI |
2nd Author's Affiliation | Graduate School of Systems and Information Engineering University of Tsukuba |
3rd Author's Name | Mikio YAMAMOTO |
3rd Author's Affiliation | Graduate School of Systems and Information Engineering University of Tsukuba |
Date | 2008-02-08 |
Paper # | NLC2007-97 |
Volume (vol) | vol.107 |
Number (no) | 480 |
Page | pp.pp.- |
#Pages | 6 |
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