Extracting Emotional Polarity of Words using Spin Model
- Hiroya Takamura ,
- Takashi Inui ,
- Manabu Okumura
Proceedings of ACL-05, 43rd Annual Meeting of the Association for Computational Linguistics |
Published by Association for Computational Linguistics
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.