Feature-based opinion mining and ranking
Journal of Computer and System Sciences
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Since more and more users express their reviews on the web, opinion mining becomes much important. Polarity analyzing and opinion mining is the process of automatically mining polarity and opinion with computer technology. This paper focuses on mining opinion of Chinese review sentences, obtaining comprehensive evaluation of product and ranking product in some feature or in all features. Methods are introduced to mine opinion by natural language processing techniques. Product-features that users show interest in will be extracted by searching in ontology, polarity strength will be separated into static polarity and dynamic polarity to compute by searching in polarity lexicon and polarity strength will be mapped to features by using syntactic parser.