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《Journal of South China University of Technology(Natural Science Edition)》 2016-09
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Neural Network-Based Public Opinion Prediction Method for Microblog

HE Yan-xiang;LIU Jian-bo;SUN Song-tao;School of Computer∥State Key Laboratory of Software Engineering,Wuhan University;  
In view of the characteristics of microblog platform,a public opinion prediction method is proposed on the basis of neural networks. In this method,the post amount in unit time is taken as the quantitative index of event trend. Then,by considering the factors influencing events,the modeling is performed according to sample data,and the neural networks are employed to predict the future trend of the events outside the scope. Simulation results show that the proposed method is fast in terms of the quantization and modeling of the event trend,and it is effective in predicting the outbreak point and the post amount.
【Fund】: 国家自然科学基金资助项目(61303115 61472290 61472291);; 武汉市科技攻关项目资助项目(201210421135)~~
【CateGory Index】: TP391.1;TP183
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