Extracting Emotional Polarity of Words using Spin Model(Text Mining II)
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概要
- 論文の詳細を見る
We propose a method for extracting emotional polarities of words: desirable or undesirable. Regarding emotional polarities as spins of electrons, we use the mean field approximation to compute the approximate probability function of the system instead of the intractable actual probability function. Given only two seed words "good" and "bad", the proposed method extracts 500 emotional polarities with about 75% precision.
- 一般社団法人情報処理学会の論文
- 2004-12-04
著者
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Okumura Manabu
Department Of Pharmacy Miyazaki Medical College Hospital
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Okumura Manabu
Tokyo Institute Of Technology Precision And Intelligence Laboratory
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Inui Takashi
Tokyo Institute Of Technology Precision And Intelligence Laboratory
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TAKAMURA HIROYA
Tokyo Institute of Technology, Precision and Intelligence Laboratory
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Takamura Hiroya
Tokyo Institute Of Technology Precision And Intelligence Laboratory
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Okumura M
Dep. Of Pharmacy Univ. Of Miyazaki Hospital
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Okumura Manabu
Tokyo Inst. Technol.
関連論文
- Extracting Emotional Polarity of Words using Spin Model(Text Mining II)
- Extracting Emotional Polarity of Words using Spin Model(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
- Extracting Emotional Polarity of Words using Spin Model (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 12: Text Mining 2)
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