Social media for enhanced understanding of disaster resilience during Hurricane Florence
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Abstract
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DOI: 10.1016/j.ijinfomgt.2020.102289
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Cited by:
- Muhammad Ashraf Fauzi, 2023. "Social media in disaster management: review of the literature and future trends through bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 953-975, September.
- Ewa Lechowska, 2022. "Approaches in research on flood risk perception and their importance in flood risk management: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(3), pages 2343-2378, April.
- Achraf Tounsi & Marouane Temimi, 2023. "A systematic review of natural language processing applications for hydrometeorological hazards assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 2819-2870, April.
- Peng Chen & Wei Zhai & Xiankui Yang, 2023. "Enhancing resilience and mobility services for vulnerable groups facing extreme weather: lessons learned from Snowstorm Uri in Harris County, Texas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1573-1594, September.
- Seungil Yum, 2023. "Analyses of human responses to Winter storm Kai using the GWR model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 1805-1821, March.
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Keywords
Disaster resilience; Social media; Sentiment analysis; Data mining; LDA topic model; Situation awareness;All these keywords.
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