Presentation 2005/7/16
Latent Variable Models for Semantic Orientations of Phrases
Hiroya Takamura, Takashi Inui, Manabu Okumura,
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Abstract(in English) We propose a model for phrases with semantic orientations as well as a classification method based on the model. Although each phrase consists of multiple words, the semantic orientation of the phrase is not a mere sum of the orientations of the component words. Some words invert the orientation. In order to capture the property of such phrases, we introduce latent variables into the model. Through experiments, we show that the proposed latent variable model works well in the classification of semantic orientations of phrases and achieved nearly 82% classification accuracy.
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Keyword(in English) semantic orientatioin / phrase classification / latent variable model
Paper # NLC2005-22
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Conference Information
Committee NLC
Conference Date 2005/7/16(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Latent Variable Models for Semantic Orientations of Phrases
Sub Title (in English)
Keyword(1) semantic orientatioin
Keyword(2) phrase classification
Keyword(3) latent variable model
1st Author's Name Hiroya Takamura
1st Author's Affiliation Tokyo Institute of Technology, Precision and Intelligence Laboratory()
2nd Author's Name Takashi Inui
2nd Author's Affiliation Japan Society for the Promotion of Science
3rd Author's Name Manabu Okumura
3rd Author's Affiliation Tokyo Institute of Technology, Precision and Intelligence Laboratory
Date 2005/7/16
Paper # NLC2005-22
Volume (vol) vol.105
Number (no) 204
Page pp.pp.-
#Pages 8
Date of Issue