A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews
User Modeling and User-Adapted Interaction, pp. 1-61, 2018.
Recommender systemsAspect-based recommendationSentiment analysisOpinion miningAspect extractionMore(1+)
In popular applications such as e-commerce sites and social media, users provide online reviews giving personal opinions about a wide array of items, such as products, services and people. These reviews are usually in the form of free text, and represent a rich source of information about the users’ preferences. Among the information elem...More
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