OpinionLink: Leveraging user opinions for product catalog enrichment
作者：
Highlights：
• The paper introduces a novel problem of enriching product catalogs with user opinions.
• Proposes an effective approach for solving this problem using classifiers.
• Validates the approach using datasets from real e-commerce web sites in two distinct scenarios.
摘要
•The paper introduces a novel problem of enriching product catalogs with user opinions.•Proposes an effective approach for solving this problem using classifiers.•Validates the approach using datasets from real e-commerce web sites in two distinct scenarios.
论文关键词：Product catalog enrichment,Aspect-base summarization,Opinion mining,Sentiment analysis,Online reviews
论文评审过程：Received 4 September 2018, Revised 6 December 2018, Accepted 24 January 2019, Available online 29 January 2019, Version of Record 29 January 2019.
论文官网地址：https://doi.org/10.1016/j.ipm.2019.01.004
