Analysis of public opinion and disaster loss estimates from typhoons based on Microblog data

LI Shaopan; ZHAO Fei; ZHOU Yiqi; TIAN Xiangliang; HUANG Hong

doi:10.16511/j.cnki.qhdxxb.2021.26.031

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (1) : 43-51. DOI: 10.16511/j.cnki.qhdxxb.2021.26.031

SPECIAL SECTION:DISASTER PREVENTION AND MITIGATION

Analysis of public opinion and disaster loss estimates from typhoons based on Microblog data

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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.

Key words

typhoons / public opinions during typhoons / disaster sentiment / disaster loss assessments

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LI Shaopan, ZHAO Fei, ZHOU Yiqi, TIAN Xiangliang, HUANG Hong. Analysis of public opinion and disaster loss estimates from typhoons based on Microblog data[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(1): 43-51 https://doi.org/10.16511/j.cnki.qhdxxb.2021.26.031

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