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杂志中文名:计算机科学
杂志英文名:Computer Science
主管单位:国家科学技术部
主办单位:国家科技部西南信息中心
地址:重庆市渝北区北部新区洪湖西路18号
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ISSN:1002-137X
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基于拐点的网络舆情预测研究
引用本文:郑步青,邹红霞,胡欣杰.基于拐点的网络舆情预测研究[J].计算机科学,2018,45(Z11):539-541, 575.
作者姓名:郑步青  邹红霞  胡欣杰
作者单位:航天工程大学研究生管理大队 北京101416,航天工程大学信息装备系 北京101416,航天工程大学信息装备系 北京101416
摘    要: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。

关 键 词:网络舆情  ARIMA  灰色预测  拐点

Research on Public Opinion Prediction Based on Inflection Point
ZHENG Bu-qing,ZOU Hong-xia and HU Xin-jie.Research on Public Opinion Prediction Based on Inflection Point[J].Computer Science,2018,45(Z11):539-541, 575.
Authors:ZHENG Bu-qing  ZOU Hong-xia  HU Xin-jie
Affiliation:Company of Postgraduate Management,Space Engineering University,Beijing 101416,China,Department of Information Equipment,Space Engineering University,Beijing 101416,China and Department of Information Equipment,Space Engineering University,Beijing 101416,China
Abstract: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.
Keywords:Public opinion  ARIMA  Gray forecast  Inflection point
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