Detection of fake opinions using time series

作者：

Highlights：

• Proposing a novel model to detect spam reviews efficiently.

• Demonstrating the integral role of burst patterns in detection of spam reviews.

• Comparing the approach with two common methods to show how significant it is.

摘要

•Proposing a novel model to detect spam reviews efficiently.•Demonstrating the integral role of burst patterns in detection of spam reviews.•Comparing the approach with two common methods to show how significant it is.

论文关键词：Review spam,Spam detection,Opinion spam,Fake reviews

论文评审过程：Received 2 September 2015, Revised 29 January 2016, Accepted 6 March 2016, Available online 24 March 2016, Version of Record 17 April 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.020