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dc.contributor.authorLi, Rong
dc.contributor.authorZhao, Lei
dc.contributor.authorXie, ZhiQiang
dc.contributor.authorJi, Chunhou
dc.contributor.authorMo, Jiamin
dc.contributor.authorYang, Zhibing
dc.contributor.authorFeng, Yuyun
dc.date.accessioned2026-08-20T21:07:09Z
dc.date.available2026-08-20T21:07:09Z
dc.date.copyright2024/09/23
dc.date.issued2025
dc.identifier.otherNHREFO.NHENG-2107.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313979
dc.description.abstractAbstractNatural disasters have caused significant economic losses and casualties. Obtaining detailed disaster information and understanding public opinion during disasters are crucial for devising effective policies and ensuring timely disaster responses. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMining and Analyzing the Evolution of Public Opinion in Extreme Disaster Events from Social Media: A Case Study of the 2022 Yingde Flood in China
dc.typeJournal Article
dc.journal.volume26
dc.journal.issue1
dc.journal.titleNatural Hazards Review
dc.identifier.doi10.1061/NHREFO.NHENG-2107
dc.journal.fristpage05024015-1
dc.journal.lastpage05024015-14
dc.page14
dc.treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 001
dc.contenttypeFulltext


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