Analysis of public opinion and disaster loss estimates from typhoons based on Microblog data
LI Shaopan1, ZHAO Fei2, ZHOU Yiqi1, TIAN Xiangliang3, HUANG Hong1
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China; 2. National Disaster Reduction Center of China, Beijing 100124, China; 3. Key Laboratory of Mining Goaf Disaster Prevention and Control of Ministry of Emergency Management, China Academy of Safety Science & Technology, Beijing 100012, China
Abstract：This study searched Microblog data related to Typhoon "Mangkhut" in 2018 and "Lekima" in 2019 and then used the Bayesian sentiment analysis model to analyze the public opinions related to these typhoons. The results show two different typhoon disaster public opinion temporal and spatial evolution laws and an emotional evolution law. Then, the urban typhoon disaster loss was estimated for coastal and inland cities based on the temporal and spatial evolution and emotional evolution laws. The data includes the city's geographic location, economy, population and typhoon disaster damage as well as sentiments. The disaster damage assessment model is consistent with the disaster assessment. The research results and methods provide references for disaster research and disaster relief demand analyses and guidelines for supply allocation in cities during initial emergency responses during typhoons.
李绍攀, 赵飞, 周义棋, 田向亮, 黄弘. 基于微博数据的台风灾害舆情分析与灾害损失估计[J]. 清华大学学报（自然科学版）, 2022, 62(1): 43-51.
LI Shaopan, ZHAO Fei, ZHOU Yiqi, TIAN Xiangliang, HUANG Hong. Analysis of public opinion and disaster loss estimates from typhoons based on Microblog data. Journal of Tsinghua University(Science and Technology), 2022, 62(1): 43-51.
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2022, Vol. 62 
