Journal of Shandong University(Engineering Science) ›› 2020, Vol. 50 ›› Issue (5): 118-126.doi: 10.6040/j.issn.1672-3961.0.2019.371

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Spatial and temporal analysis of network public opinion evolution of typhoon “Mangkhut” based on Weibo data

ZHANG Yan1,2, LI Yingbing1*, ZHENG Xiang3   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, Hubei, China;
    2. State Key Laboratory of Information Engineering in Surveging, Mapping and Remote Sensing, Wuhan 430079, Hubei, China;
    3. School of Information Management, Wuhan University, Wuhan 430072, Hubei, China
  • Published:2020-10-19

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Abstract: Internet public opinion was the sum of the public various emotions, attitudes and opinions on related topics. This paper applied the sentiment analysis model, dynamic evolution model, topic clustering model, network community model and geographic visualization technology to the typhoon disaster assessment. This research fully illustrated how the public opinion on typhoon “Mangkhut” evolved by analyzing the 25 798 Weibo related from the two perspectives of emotional value and discussion heat. By utilizing LDA clustering method the negative impacts of typhoon “Mangkhut”'s landing and “Hunan toll station event” on public sentiment were found. After collecting the geographical location information of those typhoon “Mangkhut” related Weibo, a network-community model of 21 cities in Guangdong province was established and the model tested the ability to explore the affected cities through such indicators as users' sentiments, city word frequency, users' location, and network node activity. Spatial interpolation was performed based on the 24 h maximum rainfall data from 38 meteorological stations in Guangdong province. Precipitation was mainly concentrated in the southern part of Guangdong. Heavy rains occurred in Yangjiang City, which caused severe flooding and the lowest emotional value.

Key words: natural language processing, spatial analysis, community analysis, Sina Weibo, public safety

CLC Number: 

  • TU984.116
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