Journal of South China University of Technology (Natural Science Edition) ›› 2016, Vol. 44 ›› Issue (9): 47-52.doi: 10.3969/j.issn.1000-565X.2016.09.007

• Computer Science & Technology • Previous Articles     Next Articles

Neural Network-Based Public Opinion Prediction Method for Microblog

HE Yan-xiang LIU Jian-bo SUN Song-tao   

  1. School of Computer // State Key Laboratory of Software Engineering,Wuhan University,Wuhan 430072,Hubei,China
  • Received:2015-12-25 Revised:2016-04-19 Online:2016-09-25 Published:2016-08-21
  • Contact: 何炎祥( 1952-) ,男,博士,教授,主要从事可信软件、自然语言处理、分布并行处理和软件工程研究. E-mail:yxhe@whu.edu.cn
  • About author:何炎祥( 1952-) ,男,博士,教授,主要从事可信软件、自然语言处理、分布并行处理和软件工程研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China( 61303115, 61472290, 61472291)

Abstract: 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.

Key words: social computing, neural networks, big data, trend forecasting, microblog

CLC Number: