Computer Science ›› 2018, Vol. 45 ›› Issue (5): 168-175.doi: 10.11896/j.issn.1002-137X.2018.05.028

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Recognition Model of Microblog Opinion Leaders Based on Sentiment Orientation Analysis

CHEN Zhi-xiong, WANG Shi-hui and GAO Rong   

  • Online:2018-05-15 Published:2018-07-25

Abstract: The current methods of opinion leaders are numerous.Existing methods include the comprehensive analysis method for user’s personalized features and the analysis method based on the structure of social networks.These methodsonly consider the characteristics of the users,but ignore the interaction between the users,or not take the microblog sentiment factors into consideration.Therefore,this paper proposed a microblog opinion leader identification method based on microblog emotional analysis.First of all,support vector machine is used to do emotional analysis on microblog context based on the synthetically emotional dictionary word frequency statistics results.And then the variation coefficient method is used in microblog attribute weight calculation to reflect the influence of microblog.Finally,the Page-Rank algorithm is employed to predict the diffusion process of users’ influence in the microblog,and the final influence of users is calculated.On the Sina microblog dataset,the proposed model is tested and compared with the other methods based on user attribute analysis and PageRank using the forwarding rate and coverage index.The experimental results show the superiority of proposed method.

Key words: Microblog,Emotional tendency,Variation coefficient method,Opinion leader

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