Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews

作者：

Highlights：

• A framework for consumer preferences extraction from online reviews is proposed.

• Presents a rule-based method to correctly recognize multi-word product attributes.

• Designs rules to identify one-dimensional and attractive demands for product attributes.

• Experiments on the online reviews of air purifiers demonstrate the effectiveness of the method.

摘要

•A framework for consumer preferences extraction from online reviews is proposed.•Presents a rule-based method to correctly recognize multi-word product attributes.•Designs rules to identify one-dimensional and attractive demands for product attributes.•Experiments on the online reviews of air purifiers demonstrate the effectiveness of the method.

论文关键词：Fine-grained sentiment analysis,Kano model,Consumer preferences,Online reviews

论文评审过程：Received 13 December 2020, Revised 15 June 2021, Accepted 24 June 2021, Available online 26 June 2021, Version of Record 1 July 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107259