| 基于ARIMA和BP神经网络模型的舆情情感预测 |
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| 引用本文： | 王努努,张伟佳,钮亮. 基于ARIMA和BP神经网络模型的舆情情感预测[J]. 电子科技, 2016, 29(5): 83 |
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| 作者姓名： | 王努努 张伟佳 钮亮 |
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| 作者单位： | (中国计量学院 经济与管理学院,浙江 杭州 310018) |
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| 基金项目： | 2014年度国家级大学生创新创业训练计划基金资助项目(201410356019);2015年浙江省大学生科技创新活动计划暨新苗人才计划基金资助项目(2015R409005) |
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| 摘 要： | 针对重大事件网络舆情数量的激增,网络舆情安全监管和预警形势严峻的情况,提出一种基于ARIMA和BP神经网络组合模型的网络舆情情感预测模型,进而对新浪微博上采集的"余姚水灾事件"进行文本情感值计算,并对其情感变化趋势进行综合分析和预测。预测结果表明,也组合预测方法相对于单一预测方法具有更高的精度,进而说明该模型在网络舆情情感预测中的应用是可行的。
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| 关 键 词： | 网络舆情 情感值 组合模型 预测 |
Emotion Prediction of Public Sentiment Based on ARIMA and BP Neural Network Model |
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| WANG Nunu,ZHANG Weijia,NIU Liang. Emotion Prediction of Public Sentiment Based on ARIMA and BP Neural Network Model[J]. Electronic Science and Technology, 2016, 29(5): 83 |
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| Authors: | WANG Nunu ZHANG Weijia NIU Liang |
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| Affiliation: | (College of Economics and Management,China Jiliang University,Hangzhou 310018,China) |
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| Abstract: | As the number of significant events of public opinion surged in recent years,it is extremely serious to keep the security of the Network public opinion and to warn early.Thus,it is important to grasp the trend of public opinion in the macro.This paper presents a network public sentiment forecast based on ARIMA and BP neural network.The emotional value of the text of "the flood incident in Yuyao" on Sina Weibo is calculated.Then the comprehensive analysis and forecast of the trend of emotional change are given.Forecast results show that relative to,method of combined forecasting is more precise than the single forecast method,indicating the application of this model in the emotion forecast of Internet public sentiment is feasible. |
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| Keywords: | public opinion emotional value combined model forecast, |
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