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Theme and sentiment analysis model of public opinion dissemination based on generative adversarial network

Author

Listed:
  • Haihong, E.
  • Yingxi, Hu
  • Haipeng, Peng
  • Wen, Zhao
  • Siqi, Xiao
  • Peiqing, Niu

Abstract

An epidemic is a typical public health emergency that refers to the occurrence and rapid spread of disease. A good epidemic transmission model plays a crucial role in preventing an epidemic. The epidemic transmission model is largely similar to the model of sentiment analysis and transmission on social media. Therefore, this paper intend to use the method of deep learning to explore the key issues of theme and sentiment analysis from the perspective of public opinion analysis.

Suggested Citation

  • Haihong, E. & Yingxi, Hu & Haipeng, Peng & Wen, Zhao & Siqi, Xiao & Peiqing, Niu, 2019. "Theme and sentiment analysis model of public opinion dissemination based on generative adversarial network," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 160-167.
    • Handle: RePEc:eee:chsofr:v:121:y:2019:i:c:p:160-167
    DOI: 10.1016/j.chaos.2018.11.036
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    Cited by:

    1. Yanlong Guo & Lan Zu & Denghang Chen & Han Zhang, 2023. "A Study of Public Attitudes toward Shanghai’s Image under the Influence of COVID-19: Evidence from Comments on Sina Weibo," IJERPH, MDPI, vol. 20(3), pages 1-27, January.

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