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Segment-level joint topic-sentiment model for online review analysis

  • Published:2019-01-01 Issue:1 Volume:34 Page:43-50
  • ISSN:1541-1672
  • Container-title:IEEE Intelligent Systems
  • language:
  • Short-container-title:IEEE Intell. Syst.

Author:

Yang Qinjuan,Rao Yanghui,Xie Haoran,Wang JiahaiORCID,Wang Fu LeeORCID,Chan Wai Hong,Cambria Erik

Funder

National Natural Science Foundation of China

Hong Kong Special Administrative Region, China

Electrochemical Society

Education University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications

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2. Research on Microblog Comment Clustering Algorithm Based on Emotional Topic Feature Word Weighting;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26

3. Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During Covid;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

4. Recommending merchandise by fusing on-line product scores and objective knowledge supported location;AIP Conference Proceedings;2024

5. Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During COVID;Lecture Notes in Networks and Systems;2024
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