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- Title
基于观点挖掘的突发事件微博意见领袖识别方法.
- Authors
刘高勇; 谭依雯; 艾丹祥; 黄靖钊
- 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.
- Subjects
TREND setters; SENTIMENT analysis; PUBLIC opinion; SOCIAL network analysis; BLOGGERS
- Publication
Journal of Guangdong University of Technology, 2021, Vol 38, Issue 4, p41
- ISSN
1007-7162
- Publication type
Article
- DOI
10.12052/gdutxb.210022