齐珉,齐文华,苏桂武. 基于新浪微博的2017年四川九寨沟7.0级地震舆情情感分析[J]. 华北地震科学,2020, 38(1):57-63. doi:10.3969/j.issn.1003−1375.2020.01.009.
引用本文: 齐珉,齐文华,苏桂武. 基于新浪微博的2017年四川九寨沟7.0级地震舆情情感分析[J]. 华北地震科学,2020, 38(1):57-63. doi:10.3969/j.issn.1003−1375.2020.01.009.
QI Min,QI Wenhua,SU Guiwu. 2017 Sichuan Jiuzhaigou M 7.0 Earthquake Sentiment Analysis Based on Sina Weibo[J]. North China Earthqauke Sciences,2020, 38(1):57-63. doi:10.3969/j.issn.1003−1375.2020.01.009.
Citation: QI Min,QI Wenhua,SU Guiwu. 2017 Sichuan Jiuzhaigou M 7.0 Earthquake Sentiment Analysis Based on Sina Weibo[J]. North China Earthqauke Sciences,2020, 38(1):57-63. doi:10.3969/j.issn.1003−1375.2020.01.009.

基于新浪微博的2017年四川九寨沟7.0级地震舆情情感分析

2017 Sichuan Jiuzhaigou M7.0 Earthquake Sentiment Analysis Based on Sina Weibo

  • 摘要: 地震等重大自然灾害发生后,越来越多的民众通过网络来获取和发布灾情信息、表达个人观点和情感等,产生了海量的地震灾害网络数据。首先简要综述了针对地震灾害网络数据的相关研究;然后以2017年四川九寨沟7.0级地震为例,基于新浪微博数据,分析了社会民众对于此次地震事件表现出的情感倾向特征,结果显示:75.30%的博文表现了积极情感倾向;最后通过对不同情感倾向博文的内容分析,总结了影响网民情感波动的主要因素。

     

    Abstract: After the occurrence of major natural disasters such as earthquakes, more and more people use the network to obtain and publish disaster information, express personal opinions and emotions, and so on, resulting in a tremendous amount of earthquake disaster network public opinion. Firstly, this paper reviews the related research on earthquake disaster network public opinion; secondly, based on the data of Sina Weibo, taking the Jiuzhaigou M7.0 earthquake in Sichuan Province in 2017 as an example, it analyses the characteristics of social people's emotional tendencies towards the earthquake event: 74.6% of the blogs show positive emotional tendencies; finally, through the content analysis of different emotional tendencies blogs, summarizes the main factors affecting the emotional fluctuation of netizens.

     

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