Making the Best Use of Review Summary for Sentiment Analysis
Sen Yang, Leyang Cui, Jun Xie, Yue Zhang · 2020
Sentiment analysis provides a useful overview of customer review contents.Many review websites allow a user to enter a summary in addition to a full review.Intuitively, summary information may give additional benefit for review sentiment analysis.In this paper, we conduct a study to exploit methods for better use of summary information.We start by finding out that the sentimental signal distribution of a review and that of its corresponding summary are in fact complementary to each other.We thus explore various architectures to better guide the interactions between the two and propose a hierarchically-refined review-centric attention model.Empirical results show that our review-centric model can make better use of user-written summaries for review sentiment analysis, and is also more effective compared to existing methods when the user summary is replaced with summary generated by an automatic summarization system.