Pessimists and optimists: Improving collaborative filtering through sentiment analysis

作者：

Highlights：

• We apply Sentiment Analysis in Recommender Systems by categorizing users according to the average polarity of their comments.

• We have generated a new corpus of opinions on movies obtained from the Internet Movie Database (IMDb).

• We improve Collaborative Filtering algorithms in rating prediction tasks.

摘要

•We apply Sentiment Analysis in Recommender Systems by categorizing users according to the average polarity of their comments.•We have generated a new corpus of opinions on movies obtained from the Internet Movie Database (IMDb).•We improve Collaborative Filtering algorithms in rating prediction tasks.

论文关键词：Collaborative filtering,Opinion mining,Recommender systems,IMDb corpus,Sentiment analysis,Polarity classification,User profile generation

论文评审过程：Available online 29 June 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.049