Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation
Author:
Affiliation:
1. Tsinghua University, Beijing, China
Funder
National High Technology Research and Development Program
Chinese Natural Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2684822.2697033
Reference36 articles.
1. Performance of recommender algorithms on top-n recommendation tasks
2. A holistic lexicon-based approach to opinion mining
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