Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning

作者：

Highlights：

• Deep learning algorithms for numerical rating prediction.

• Unbiased rating prediction of apps.

• Finding discrepancy among star rating and review.

• Dataset is scrapped from the Google Play Store.

• The dataset contains 14 different categories of apps.

摘要

•Deep learning algorithms for numerical rating prediction.•Unbiased rating prediction of apps.•Finding discrepancy among star rating and review.•Dataset is scrapped from the Google Play Store.•The dataset contains 14 different categories of apps.

论文关键词：Review rating prediction,Unbiased rating prediction,Deep learning,CNN,Opinion Mining

论文评审过程：Received 17 January 2021, Revised 18 April 2021, Accepted 21 April 2021, Available online 29 April 2021, Version of Record 15 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115111