A Feature-Based Opinion Mining Model on Product Reviews in Vietnamese

Feature-based opinion mining and summarizing (FOMS) of reviews is an interesting issue in opinion mining field. In this paper, we propose an opinion mining model on Vietnamese reviews on mobile phone products. Explicit/Implicit feature-words and opinion-words were extracted by using Vietnamese syntax rules as same as synonym feature words were grouped into a feature, which belongs to the feature dictionary. Customers’ opinion orientations and summarization on features were determined by using VietSentiWordNet and suitable formulas.

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