Sentiment aggregation of targeted features by capturing their dependencies: Making sense from customer reviews
作者：
Highlights：
• Enables product designers to enhance the coverage of mapping review features to the most appropriate product components.
• Proposes an approach for sentiment aggregation of a product’s high-level and detailed features.
• Proposes a novel text mining approach for ascertaining the dependent features of a targeted feature.
摘要
•Enables product designers to enhance the coverage of mapping review features to the most appropriate product components.•Proposes an approach for sentiment aggregation of a product’s high-level and detailed features.•Proposes a novel text mining approach for ascertaining the dependent features of a targeted feature.
论文关键词：New product development,Ideation,Sentiment aggregation,Product tree,Feature’s interaction,Decision recommendation
论文评审过程：Received 16 July 2019, Revised 5 February 2020, Accepted 6 February 2020, Available online 5 March 2020, Version of Record 5 March 2020.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102097
