Weibo public opinion analysis of emergencies using lexicon-based and deep learning approaches: a case study of the 12.18 Jishishan Seismic Event

Weibo public opinion analysis of emergencies using lexicon-based and deep learning approaches: a case study of the 12.18 Jishishan Seismic Event

Seismic events, as sudden natural disasters, significantly impact society and the economy. Analyzing post-disaster online public opinion helps quickly assess the situation, severity, and public needs, aiding sentiment management and emergency response. This study collected Sina Weibo public opinion...

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Bibliographic Details
Main Authors: Yaohui Liu, Xinyu Zhang, Xinkai Wang, Jian Cui, Fei Su
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Sina Weibo
12.18 Jishishan Seismic Event
public opinion analysis
micro-charity
deep learning
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2025.2506470
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https://www.tandfonline.com/doi/10.1080/19475705.2025.2506470

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