An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques

作者：

Highlights：

• Considering ABSA at three levels simultaneously based on customer reviews.

• Integrating ABSA and BWM in designing an end-to-end ranking system.

• Ranking the quality of services, facilities and amenities based on real case study.

• Supporting customers decision by addressing the issue of “choice overload”

• Designing an end-to-end ranking method as a service for web users.

摘要

•Considering ABSA at three levels simultaneously based on customer reviews.•Integrating ABSA and BWM in designing an end-to-end ranking system.•Ranking the quality of services, facilities and amenities based on real case study.•Supporting customers decision by addressing the issue of “choice overload”•Designing an end-to-end ranking method as a service for web users.

论文关键词：End-to-end ranking,Aspect-based sentiment analysis,Dawid-skene algorithm,Best-worst method,Customer reviews,Sydney hotels ranking

论文评审过程：Received 28 October 2021, Revised 27 May 2022, Accepted 25 July 2022, Available online 28 July 2022, Version of Record 1 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118294