Predicting the helpfulness of online reviews using a scripts-enriched text regression model

作者：

Highlights：

• We incorporate higher level knowledge constructs, cognitive scripts, for analyzing review helpfulness.

• The scripts-enriched text regression model outperforms both the baseline and bag-of-words models.

• Our model can identify the most helpful reviews quickly and enhance the review website's usefulness.

摘要

•We incorporate higher level knowledge constructs, cognitive scripts, for analyzing review helpfulness.•The scripts-enriched text regression model outperforms both the baseline and bag-of-words models.•Our model can identify the most helpful reviews quickly and enhance the review website's usefulness.

论文关键词：Business intelligence,Online customer reviews,Review helpfulness,Script theory,Human annotation,Text regression

论文评审过程：Received 3 July 2016, Revised 19 November 2016, Accepted 20 November 2016, Available online 21 November 2016, Version of Record 30 November 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.029