关键词:

重大疫情网络舆情, 舆情分析模型, 舆情演化

Abstract:

 [Purpose/Significance] Exploring the multi-attribute evolution law of network public opinion in major epidemic situations can provide a reference for the practice of network public opinion governance in the prevention and control of major epidemic situations. [Method/Process] First, based on the sociological perspective, a multi-attribute evolution analysis model of network public opinion in a major epidemic was constructed. Then, the Hubei Red Cross event microblog public opinion data is selected as the research object, and the opinion leader influence evaluation, LDA theme model and Snownlp sentiment analysis method are used to analyze the network public opinion opinion leaders, theme distribution and sentiment trend in major epidemics. Finally, from the three social attributes of crowd, content and emotions, the evolution of multi-attributes of online public opinion in major epidemics is revealed. [Result/Conclusion] The model can effectively solve the requirements for the deep mining of the evolution characteristics of the network public opinion in major epidemic situations, help to discover the social problems behind the public opinion, and provide an operational theoretical analysis model for the governance of the network public opinion in major epidemic situations. The online public opinion of major epidemic situations can be divided into four stages: the outburst period, the outbreak period, the cooling down period and the out-of-focus period, and there are obvious differences in opinion leaders, topic discussion content and emotional tendency in each stage. The changes of the netizens' emotional phases are consistent with the evolution of the theme attributes of public opinion.

Key words:

internet public opinion of major epidemic, public opinion analysis model, public opinion evolution