Dependency Expansion Model for Sentiment Lexicon Extraction

In this paper, we present a sentiment lexicon building method called dependency expansion method (DEM), which exploits the relations described in dependency trees between sentiment words and degree adverbs. By taking advantage of the observation that degree adverbs modify sentiment words, two extraction rules are made, through which sentiment words and degree adverbs can be effectively expanded. We evaluate performance on two product reviews corpora in Chinese. Experimental results show that our DEM can effectively extract sentiment words to support the review opinion analysis.