Paper: Extracting Semantic Orientations Of Words Using Spin Model

ACL ID P05-1017
Title Extracting Semantic Orientations Of Words Using Spin Model
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

We propose a method for extracting se- mantic orientations of words: desirable or undesirable. Regarding semantic ori- entations as spins of electrons, we use the mean field approximation to compute the approximate probability function of the system instead of the intractable ac- tual probability function. We also pro- pose a criterion for parameter selection on the basis of magnetization. Given only a small number of seed words, the pro- posed method extracts semantic orienta- tions with high accuracy in the exper- iments on English lexicon. The result is comparable to the best value ever re- ported.