| contributor author | Li, Rong | |
| contributor author | Zhao, Lei | |
| contributor author | Xie, ZhiQiang | |
| contributor author | Ji, Chunhou | |
| contributor author | Mo, Jiamin | |
| contributor author | Yang, Zhibing | |
| contributor author | Feng, Yuyun | |
| date accessioned | 2026-08-20T21:07:09Z | |
| date available | 2026-08-20T21:07:09Z | |
| date copyright | 2024/09/23 | |
| date issued | 2025 | |
| identifier other | NHREFO.NHENG-2107.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313979 | |
| description abstract | AbstractNatural 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. ... | |
| publisher | American Society of Civil Engineers | |
| title | Mining and Analyzing the Evolution of Public Opinion in Extreme Disaster Events from Social Media: A Case Study of the 2022 Yingde Flood in China | |
| type | Journal Article | |
| journal volume | 26 | |
| journal issue | 1 | |
| journal title | Natural Hazards Review | |
| identifier doi | 10.1061/NHREFO.NHENG-2107 | |
| journal fristpage | 05024015-1 | |
| journal lastpage | 05024015-14 | |
| page | 14 | |
| tree | Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 001 | |
| contenttype | Fulltext | |
