Social media-based opinion retrieval for product analysis using multi-task deep neural networks

作者：

Highlights：

• A general framework that analyses social media-based product feedback is proposed.

• Deep neural networks and natural language processing methods are utilized.

• Proposed system is illustrated for product analysis on the Google Glass case.

• The system offers a detailed product analysis framework for decision makers.

摘要

•A general framework that analyses social media-based product feedback is proposed.•Deep neural networks and natural language processing methods are utilized.•Proposed system is illustrated for product analysis on the Google Glass case.•The system offers a detailed product analysis framework for decision makers.

论文关键词：Deep learning,Feedback retrieval,Natural language processing,Opinion mining,Sentiment analysis,Text analytics

论文评审过程：Received 18 September 2020, Revised 14 May 2021, Accepted 7 June 2021, Available online 12 June 2021, Version of Record 17 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115388