Presentation 2004/11/30
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)
HIROYA TAKAMURA, TAKASHI INUI, MANABU OKUMURA,
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Abstract(in English) 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.
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Paper # AI2004-55
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Committee AI
Conference Date 2004/11/30(1days)
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Language ENG
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Title (in English) 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)
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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 Tokyo Institute of Technology, Precision and Intelligence Laboratory
3rd Author's Name MANABU OKUMURA
3rd Author's Affiliation Tokyo Institute of Technology, Precision and Intelligence Laboratory
Date 2004/11/30
Paper # AI2004-55
Volume (vol) vol.104
Number (no) 488
Page pp.pp.-
#Pages 6
Date of Issue