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Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash

Dai, Jingqi, Zhao, Ye, Li, Zongmin·2024·International Journal of Disaster Risk Reduction
DOI 10.1016/j.ijdrr.2024.104268
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Metadata

Authors
Dai, J., Zhao, Y., & Li, Z.
Venue
International Journal of Disaster Risk Reduction
Publisher
Elsevier BV
Published
2024-02
Volume
102
Pages
104268
ISSN
2212-4209
DOI
10.1016/j.ijdrr.2024.104268
Cited by
26
References
1
Language
en
Licence
Funders
  • Fundamental Research Funds for the Central Universities (J2022-049, ZHMH2022-013)
  • National Natural Science Foundation of China (72174134)
  • National Office for Philosophy and Social Sciences (22&ZD142)

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CoChat. (2026). Citation check: Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash. https://app.cochat.ai/papers/10.1016/j.ijdrr.2024.104268
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Dai, J., Zhao, Y., & Li, Z. (2024). Sentiment-topic dynamic collaborative analysis-based public opinion mapping in aviation disaster management: A case study of the MU5735 air crash. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2024.104268