计算机与数字工程2025，Vol.53Issue(1)：133-138,6.DOI:10.3969/j.issn.1672-9722.2025.01.026
全媒体时代重大突发事件网络舆情趋势预测
Prediction of Network Public Opinion Trends for Major Emergencies in Omni-media Era
摘要
Abstract
In the era of omni-media,network public opinion on major emergencies has the characteristics of large data scale,wide dissemination range,and strong group interaction,which may cause rapid and vicious evolution of public opinion in a short pe-riod of time,posing a serious threat to social stability.Therefore,accurate prediction of the trend of network public opinion for ma-jor emergencies is conducive to reducing the risk of"derived disasters".This paper proposes a combined forecasting model FA-TCN based on factor analysis(FA)and time series convolutional neural network(TCN).By considering the influencing factors of public opinion crisis,an index system is established,and the factor analysis method is used to reduce the dimension of public opinion da-ta.An example analysis is carried out on the evolution trend of network public opinion,and the results show that the FA-TCN pre-diction model proposed in this paper is better than the comparison model in every index.The model better fits the actual develop-ment trend of online public opinion,and provides theoretical support for relevant departments to accurately understand the situation of public opinion and formulate scientific and efficient emergency plans.关键词
因子分析/时序卷积神经网络/重大突发事件/指标体系/网络舆情趋势预测Key words
factor analysis/time series convolutional neural network/major emergencies/indicator system/network public opinion trend prediction分类
信息技术与安全科学引用本文复制引用
赵晓翠,康昭,田玲,张广胜..全媒体时代重大突发事件网络舆情趋势预测[J].计算机与数字工程,2025,53(1):133-138,6.基金项目
国家社会科学基金项目(编号:2020SKJJB019)资助. （编号:2020SKJJB019）
