专题一:网络舆情的形成、发展与预测研究

利用灰色预测与模式识别方法构建网络舆情预测与预警模型

  • 杜智涛 ,
  • 谢新洲
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  • 1. 中国青年政治学院新闻与传播系;
    2. 北京大学新闻与传播学院
杜智涛,中国青年政治学院新闻与传播系讲师,E-mail:ddzztt@sina.com;谢新洲,北京大学新闻与传播学院教授,博士,博士生导师。

收稿日期: 2013-04-24

  修回日期: 2013-07-09

  网络出版日期: 2013-08-05

基金资助

本文系国家自然科学基金资助项目"基于互联网网民言论信息的口碑监测、分析与管理研究" (项目编号:71073006)研究成果之一。

The Establishment of Public Opinion Forecasting and Early-warning Model with the Methods of Grey Forecasting and Pattern Recognition

  • Du Zhitao ,
  • Xie Xinzhou
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  • 1. Journalism & Communication Department, China Youth University for Political Sciences, Beijing 100089;
    2. School of Journalism & Communication, Peking University, Beijing 100871

Received date: 2013-04-24

  Revised date: 2013-07-09

  Online published: 2013-08-05

摘要

针对网络舆情主题多样、内容复杂、数据海量等特点,构建一个由三级指标构成的多层次网络舆情研判指标体系;在此基础上,运用灰色预测方法建立网络舆情预测模型,运用模式识别方法建立网络舆情预警模型,并选取60个网络舆情事件为训练样本,确立舆情警级分类规则,对该模型的可用性进行验证;鉴于网络舆情预测与预警所需要的数据量大、计算复杂,提出网络舆情预测与预警系统建设的整体架构,以进行数据处理。

本文引用格式

杜智涛 , 谢新洲 . 利用灰色预测与模式识别方法构建网络舆情预测与预警模型[J]. 图书情报工作, 2013 , 57(15) : 27 -33 . DOI: 10.7536/j.issn.0252-3116.2013.15.004

Abstract

As the network public opinion possesses the features of various topic, complex content and large amount data etc., this paper constructs a multi-level index system of network public opinion analysis which is consisted of three level indicators. And then, network public opinion forecasting model is established with the grey forecasting method, and the early-warning model is established through the pattern recognition method. This paper selects 60 network public opinion events as training samples, establishes the classifying discipline of network public opinion level, and tests the usability of the forecasting and early-warning model. The forecasting and early-warning need large amount of data and complicated calculation, then it puts forward the whole frame of constructing the system to process data.

参考文献

[1] 王青,成颖,巢乃鹏. 网络舆情监测及预警指标体系构建研究[J].图书情报工作,2011,55(8):54-57.
[2] 李耘涛,刘妍,刘毅. 网络舆情灰色预警评价研究[J].情报杂志,2011,30(4):24-27.
[3] 陈越,李超零,于洋,等.基于 TOPSIS 方法的网络舆情威胁评估模型[J].情报杂志,2012,31(3):15-19.
[4] 戴媛,郝晓伟,郭 岩,等.基于多级模糊综合评判的网络舆情安全评估模型研究[J].信息网络安全,2010(5)2:60-62.
[5] IRI网络舆情指数体系介绍[EB/OL].[2010-06-25].http://www.iricn.com/index.php?option=com_content&view= article&id= 44&Itemid=4.
[6] 曾润喜.网络舆情突发事件预警指标体系构建[J].情报理论与实践,2010(1):77-80.
[7] 张一文,齐佳音,方滨兴,等.基于贝叶斯网络建模的非常规危机事件网络舆情预警研究[J].图书情报工作,2012,56(2): 76-81.
[8] 林琛,李弼程,王瑾.基于模糊推理的网络舆情预警方法[J].信息工程大学学报,2011,12(1):72-76.
[9] 丁菊玲,勒中坚.一种面向网络舆情危机预警的观点柔性挖掘模型[J].情报杂志,2009(10):152-154.
[10] Eirinaki M, Vazirgiannis M. Web mining for personalization[J].ACM Transactions on Internet Technology,2003,3(1): 12-13.
[11] Andrea E.Automatic generation of lexical resources for opinion mining: Models,algorithms and applications[D].Pisa: University dipisa,2008.
[12] Martens D, Bruynseels L, Baesens B, et al. Predicting going concern opinion with data mining[J]. Decision Support Systems,2008,45(4):756-777.
[13] Gao Hui,Jiang Jun, She Li, et al. A new agglomerative hierarchical clustering algorithm implementation based on the map reduce framework[J].International Journal of Digital Content Technology and Its Applications, 2010,4(3):95-100.
[14] Goyal A,Bonchi F,Lakshmanan L V. Discovering leaders from community actions[C]//Proceedings of the 17th ACM Conference on Information and Knowledge Management.New York:ACM,2008:499-508.
[15] Zhou Hengmin, D.Zeng, Zhang Changli.Finding leaders from opinion networks[C]//Proceedings of 2009 IEEE International Conference on Intelligence and Security Informatics,2009: 266-268.
[16] 人民网舆情监测室.如何应对网络舆情:网络舆情分析师手册[M].北京:新华出版社,2011:48-70.
[17] 邓聚龙.灰预测与灰决策[M].武汉:华中科技大学出版社,2002.
[18] 边肇祺,张学工.模式识别[M].北京:清华大学出版社,2000.

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