Journal of Guangdong University of Technology ›› 2021, Vol. 38 ›› Issue (04): 41-51.doi: 10.12052/gdutxb.210022

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A Microblog Opinion Leader Identification Method Based on Opinion Mining in Emergencies

Liu Gao-yong, Tan Yi-wen, Ai Dan-xiang, Huang Jing-zhao   

  1. School of Management, Guangdong University of Technology, GuangZhou 510520, China
  • Received:2021-02-01 Online:2021-07-10 Published:2021-05-25

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Abstract: Based on the nature of opinion leaders, the opinion mining technology is used to study the identification of microblog opinion leaders in emergencies in order to provide a reference for the governance of online public opinions. A three-step opinion leaders identification framework is proposed: first, using a literature analysis, an indicator model is built to evaluate the influence of microblog bloggers; second, a text subjective and objective classification model is built to determine whether high-influence bloggers publish event-related opinions and information, and to identify opinion blog posts; then an emotional polarity classification model is built based on the comment text of the opinion blog post to calculate the support degree of the blog post opinions and the support rate of the blogger’s opinions so that those high-influence bloggers who have first output their opinions and then received more support can be rated as the event "Opinion Leaders". These methods are used in the following text to analyze the microblog public opinion data of the typical practical cases, identifying the microblog opinion leaders of the incident, with their characteristics and public opinion participation behaviors observed and analyzed, and the results compared with those of social network analysis methods and the expert manual analysis method to verify the scientificity and effectiveness of this method. The results show that this method can identify microblog opinion leaders who truly have the guiding power of public opinions and can have governance value in the evolution of public opinions in emergencies.

Key words: opinion mining, text subjective and objective classification, text emotional polarity analysis, emergency events, opinion leaders

CLC Number: 

  • TP3-05
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