Abstract
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.
Cite
CITATION STYLE
Wang, X., Sudoh, K., & Nagata, M. (2015). Rating entities and aspects using a hierarchical model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9078, pp. 39–51). Springer Verlag. https://doi.org/10.1007/978-3-319-18032-8_4
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