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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2004/11/30(1days) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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