Journal of South China University of Technology(Natural Science) >

2016 , Vol. 44 >Issue 9: 47 - 52

DOI: https://doi.org/10.3969/j.issn.1000-565X.2016.09.007

Computer Science & Technology

Neural Network-Based Public Opinion Prediction Method for Microblog

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  • School of Computer // State Key Laboratory of Software Engineering,Wuhan University,Wuhan 430072,Hubei,China
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．

Received date: 2015-12-25

  Revised date: 2016-04-19

  Online published: 2016-08-21

Supported by

Supported by the National Natural Science Foundation of China( 61303115， 61472290， 61472291)

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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

Cite this article

HE Yan-xiang LIU Jian-bo SUN Song-tao . Neural Network-Based Public Opinion Prediction Method for Microblog[J]. Journal of South China University of Technology(Natural Science), 2016 , 44(9) : 47 -52 . DOI: 10.3969/j.issn.1000-565X.2016.09.007

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