Deceptive reviews and sentiment polarity: Effective link by exploiting BERT

作者：

Highlights：

• Distinguish between deceptive and real reviews written by unknown users online.

• Combine sentiment polarity and deceptiveness labels via multilabel classification.

• Vanguard results on Deceptive Opinion Spam and Yelp corpora via BERT language model.

摘要

•Distinguish between deceptive and real reviews written by unknown users online.•Combine sentiment polarity and deceptiveness labels via multilabel classification.•Vanguard results on Deceptive Opinion Spam and Yelp corpora via BERT language model.

论文关键词：Deceptive reviews,Sentiment,BERT,Multi-label,Deep learning,Neural language model

论文评审过程：Received 31 May 2021, Revised 22 July 2022, Accepted 24 July 2022, Available online 2 August 2022, Version of Record 9 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118290