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Segment-Level Joint Topic-Sentiment Model for Online Review Analysis

Journal

IEEE INTELLIGENT SYSTEMS
Volume 34, Issue 1, Pages 43-50

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/MIS.2019.2899142

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Funding

  1. National Natural Science Foundation of China [61502545]
  2. Research Grants Council of Hong Kong Special Administrative Region, China [UGC/FDS11/E03/16]
  3. Education University of Hong Kong [RG 23/2017-2018R]

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With the rapid development of the Internet, an increasing number of users enjoy to shop online and express their reviews on the products and services. Analysis of these online reviews can not only help potential users make rational decisions when purchasing but also improves the quality of products and services. Hence, sentiment analysis for online reviews has become an important and meaningful research domain.

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