Aspect-Specific Ranking of Product Reviews Using Topic Modeling
نویسندگان
چکیده
We examine the problem of ranking different aspects of a product through examination of its customer reviews. For instance, a restaurant review may contain distinct and possibly differing opinions on the food, decor, service, and price. We present a ranking system that uses Latent Dirichlet Allocation (LDA) and a database of opinion-oriented words to predict the aspect-specific sentiment of individual reviews. We evaluate the ranker on a set of test reviews and compare our results to previous work in this area.
منابع مشابه
Mining Interesting Aspects of a Product using Aspect-based Opinion Mining from Product Reviews (RESEARCH NOTE)
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