Harshness-aware sentiment mining framework for product review

作者：

Highlights：

• We propose a framework of sentiment analysis that well portrays users’ harshness.

• Considering users’ harshness can improve the quality of sentiment mining.

• Experiments show that our method is superior to the state-of-the-art methods.

• We clarify the reason why the sentiment mining result is far from expert comment.

摘要

•We propose a framework of sentiment analysis that well portrays users’ harshness.•Considering users’ harshness can improve the quality of sentiment mining.•Experiments show that our method is superior to the state-of-the-art methods.•We clarify the reason why the sentiment mining result is far from expert comment.

论文关键词：Sentiment mining,Bayesian inference,Probabilistic graphical model

论文评审过程：Received 10 January 2021, Revised 4 September 2021, Accepted 5 September 2021, Available online 10 September 2021, Version of Record 13 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115887