Automated defect discovery for dishwasher appliances from online consumer reviews
作者：
Highlights：
• Online dishwasher reviews contain many postings relating to dishwasher defects.
• We assess the effectiveness of sentiment analysis for dishwasher defect discovery.
• We propose new smoke term dictionaries for enhancing dishwasher defect discovery.
• Smoke terms deliver comparable performance to the best sentiment-based technique.
• Dishwasher smoke terms are distinct from sentiment terms, and mainly non-emotive.
摘要
•Online dishwasher reviews contain many postings relating to dishwasher defects.•We assess the effectiveness of sentiment analysis for dishwasher defect discovery.•We propose new smoke term dictionaries for enhancing dishwasher defect discovery.•Smoke terms deliver comparable performance to the best sentiment-based technique.•Dishwasher smoke terms are distinct from sentiment terms, and mainly non-emotive.
论文关键词：Defect discovery,Text mining,Quality management
论文评审过程：Received 24 May 2016, Revised 29 August 2016, Accepted 30 August 2016, Available online 20 September 2016, Version of Record 28 September 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.069
