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基于拐点的网络舆情预测研究

基于拐点的网络舆情预测研究

ISSN:1002-137X
2018年第45卷第Z11期
综合、交叉与应用
郑步青1, 邹红霞2, 胡欣杰2 ZHENG Bu-qing1, ZOU Hong-xia2, HU Xin-jie2

舆情预测是实现网络舆情监控最重要的一个环节,针对舆情演化过程中的拐点会影响舆情预测的情况,在ARIMA和灰色预测的基础上,提出了一种基于拐点的预测方法,建立了分段和镜像处理的数学模型。最后用实例对模型进行对比验证,并总结了模型的优缺点。实验表明,该方法能够减小拐点的影响,提高舆情预测的准确度。

Public opinion prediction is an important part of monitoring.In view of public opinion inflection point in the evolution process will affect public opinion forecast,based on ARIMA and gray prediction model,a prediction method based on inflection point was proposed,the mathematical model of segmentation and mirror processing was established.Finally,an example was used to verify the model,and the advantages and disadvantages of the model were summarized.Experiments show that this method can reduce the influence of inflection point and improve the accuracy of public opini-on prediction.

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ISSN:1002-137X
2018年第45卷第Z11期
综合、交叉与应用

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