Monitoring of user‐generated reviews via a sequential reverse joint sentiment‐topic model
Citations Over TimeTop 18% of 2019 papers
Abstract
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.
Related Papers
- → Monitoring process variability using exponentially weighted moving sample variance control charts(2007)16 cited
- → Run-to-run control charts with contrasts(1998)9 cited
- → Construction of Control Charts Based On Six Sigma Initiatives for the Number of Defects and Average Number of Defects per Unit(2011)2 cited
- → Comparison of different joint configurations between two parallel SS-laminated BSCCO/Ag tapes(2010)
- → STUDY ON "JOINT LOCATION SYSTEM"(1979)