基于灰色支持向量机的网络舆情预测模型  

INTERNET PUBIC OPINION PREDICTION MODEL BASED ON GREY SUPPORT VECTOR MACHINE

作　　者：曾振东[1] 

机构地区：[1]广东青年职业学院,广东广州510507

出　　处：《计算机应用与软件》2014年第2期300-302,311,共4页Computer Applications and Software

基　　金：广东省教育部产学研重点项目(2011A090200068);广东省自然科学基金项目(9151009001000043)

摘　　要：为了提高网络舆情预测精度,建立一种基于灰色支持向量机的网络舆情预测模型。首先对网络舆情数据预处理,然后建立网络舆情的GM(1,1)模型,并采用支持向量机对GM(1,1)模型的预测结果修正,最后通过仿真实验对模型性能进行测试。仿真结果表明,相对于传统预测模型,灰色支持向量机提高了网络舆情的预测精度。In order to improve the precision of network public opinion prediction,in this paper a network public opinion prediction model based on grey support vector machine is built.First,the network public opinion data are pre-processed,then the GM（1,1）model of network public opinion is built,and the support vector machine is used to correct the prediction results of GM （1 ,1 ）,finally the simulation experiment are carried out to test the performance of the model.Simulation results show that the grey support vector machine improves the precision of network public opinion prediction compared with the traditional prediction model.

关 键 词：网络舆情 灰色模型 支持向量机 预测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]