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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Rating Entities and Aspects Using a Hierarchical Model
verfasst von : Xun Wang, Katsuhito Sudoh, Masaaki Nagata
Erschienen in: Advances in Knowledge Discovery and Data Mining
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Opinion rating has been studied for a long time and recent work started to pay attention to topical aspects opinion rating, for example, the food quality, service, location and price of a restaurant. In this paper, we focus on predicting the overall and aspect rating of entities based on widely available on-line reviews. A novel hierarchical Bayesian generative method is developed for this task. It enables us to mine the overall and aspect ratings of both entity and its reviews at the same time. We conduct experiments on TripAdvisor and results show that we can predict entity-level and review-level overall ratings and aspect ratings well.