We propose a method for extracting semantic orientations of words: desirable or undesirable. Regarding semantic orientations 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. We also propose a criterion for parameter selection on the basis of magnetization. Given only a small number of seed words, the proposed method extracts semantic orientations with high accuracy in the experiments on English lexicon. The result is comparable to the best value ever reported.
The proposed method in REF extracts semantic orientations from a small number of seed words with high accuracy in the experiments on English as well as Japanese lexicons. But, it was also aimed for sentiment bearing words.
Extracting Semantic Orientations Of Words Using Spin Model
Annual Meeting Of The Association For Computational Linguistics
Computer Science