关键词: 情感分类, 先验知识, 领域情感词, 情感词

Abstract: Sentiment classification focuses on learning a classification model from labeled opinion text, which can predict the sentiment polarity in other opinion text. In this field, one important research topic is to combine the prior knowledge with a generative classifier to construct a new model. By studying the domain character and weight of sen¬ti¬ment lexicons, this paper proposes an approach to automatically construct domain-specific sentiment lexicons which can be reformulated as a generative prior, and then combine it with a generative model. Experimental results show that the proposed generative model performs significantly and consistently better than some of the-state-of- the-art do-main-independent methods.

Key words: sentiment classification, prior knowledge, domain-specific sentiment lexicon, sentiment lexicon