Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s10796-021-10122-y.pdf
Reference72 articles.
1. Abrahams, A. S., Jiao, J., Wang, G. A., & Fan, W. (2012). Vehicle defect discovery from social media. Decision Support Systems, 54(1), 87–97.
2. Abrahams, A. S., Jiao, J., Fan, W., Wang, G. A., & Zhang, Z. (2013). What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings. Decision Support Systems, 55(4), 871–882.
3. Abrahams, A. S., Fan, W., Wang, G. A., Zhang, Z. J., & Jiao, J. (2015). An integrated text analytic framework for product defect discovery. Production and Operations Management, 24(6), 975–990.
4. Adams, D. Z., Gruss, R., & Abrahams, A. S. (2017). Automated discovery of safety and efficacy concerns for joint & muscle pain relief treatments from online reviews. International Journal of Medical Informatics, 100, 108–120.
5. Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323–370.
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