Word Multi-Domain Semantic Polarity Algorithm based on Domain Standard Word Set

Abstract

Text orientation is one of the most important base work in web semantic calculation. The semantic polarity of words is the basis element of text sentiment. But in traditional word orientation algorithm, each word gets orientation value based on its distance with these words in the standard word list. So the word polarity is always the same value. But in fact, the word may express different polarity in diverse domains. In this paper, word polarity is calculated based on domain standard word list according to its part of speech. The domain standard list is established by search engine result. The experimental result shows that the domain standard word set for word orientation can increase the accuracy rate of comments orientation calculate.