An integrated framework for flood disaster information extraction and analysis leveraging social media data: A case study of the Shouguang flood in China

• Published in: The Science of the total environment Vol. 949; p. 174948
• Main Authors: Hou, Huawei, Shen, Li, Jia, Jianan, Xu, Zhu
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.11.2024
• Subjects: Deep learning; Information extraction; LDA model; Regular expression matching; Social media text; Spatiotemporal analysis; Deep learning; Information extraction; Social media text; LDA model; Regular expression matching; Spatiotemporal analysis

Flood disasters cause significant casualties and economic losses annually worldwide. During disasters, accurate and timely information is crucial for disaster management. However, remote sensing cannot balance temporal and spatial resolution, and the coverage of specialized equipment is limited, mak...