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- Title
Monitoring of user‐generated reviews via a sequential reverse joint sentiment‐topic model.
- Authors
Liang, Qiao; Wang, Kaibo
- Abstract
User‐generated reviews can serve as an efficient tool for evaluating the customer‐perceived quality of online products and services. This article proposes a joint control chart for monitoring the quantitative evolution of document‐level topics and sentiments in online customer reviews. A sequential model is constructed to convert the temporally correlated document collections to topic and sentiment distributions, which are subsequently used to monitor the topics that users are concerned about and the topic‐specific opinions in an ongoing product and service process. Simulation studies on various data scenarios demonstrate the superior performance of the proposed control chart in terms of both detecting shifts and identifying truly out‐of‐control terms.
- Subjects
SENTIMENT analysis; CRYSTAL structure; MICROSTRUCTURE; NANOPARTICLES; NUMERICAL analysis
- Publication
Quality & Reliability Engineering International, 2019, Vol 35, Issue 4, p1180
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.2452