Leveraging semantic features for recommendation: Sentence-level emotion analysis

•A review-based recommendation model is proposed to separate user reviews into different sentiment orientations.•A voting mechanism is proposed to directly generate the recommendation set through assigning voting rights according to similarities.•The effectiveness of separating user reviews into positive and negative feedbacks is validated in the experiments.