摘要
在突发事件中,公众已开始习惯利用短视频平台来发布危机信息、跟踪危机事态、表达情感等,这给舆情研究带来了很大挑战,特别是面对海量、高频的短视频舆情数据时,快速推断和把握其演化规律对应急决策具有重要作用。基于此,本文提出了一个突发事件短视频舆情演化分析模型,该模型包含短视频的采集、压缩、生命周期划分、账号类型统计、视频类型标注、情感倾向计算及主题挖掘等功能。通过利用“郑州特大暴雨”案例数据,对提出的分析模型进行验证发现,该模型能很好地完成短视频舆情演化分析任务。
In emergencies,the public has become accustomed to using short video platforms to publish crisis short videos,track crisis situations,and express emotions.This has brought great challenges to public opinion research,especially when faced with massive and high-frequency short video public opinion data,quickly grasping its evolutionary law is very important,which can provide support for emergency decision-making.Based on this,this paper proposes a short video public opinion evolution analysis framework for emergencies.It includes functions such as short video collection,compression,life cycle division,account type statistics,video classification,emotional tendency calculation,and topic mining.By using the case data of"Zhengzhou 7.20 Heavy Rain",this paper verifies the framework and finds that it can well complete the analysis task.
作者
陈璟浩
王有峰
聂卉梓
Chen Jinghao;Wang Youfeng;Nie Huizi(Research Center of Regional Social Governance and Innovation,Guangxi University,Nanning,530004;School of Public Policy and Management,Guangxi University,Nanning,530004;Center for the Studies of Information Resources of Wuhan University,Wuhan,430072)
出处
《信息资源管理学报》
CSSCI
2022年第3期152-164,180,共14页
Journal of Information Resources Management
基金
国家自然科学基金项目“国家安全大数据综合信息集成与分析方法”(71790612)
国家自然科学基金项目“基于数据挖掘的跨区域网络情报智能分析研究--以东盟10国为例”(71663005)的研究成果之一。
关键词
短视频
网络舆情
突发事件
演化分析
情感倾向
应急决策
Short video
Online public opinion
Emergencies
Evolution analysis
Emotional tendency
Emergency decision-making
