摘要
文章以“贵州安顺公交车坠湖”事件为案例,从文本挖掘与情感分析两个视角对突发公共安全事件网络舆情进行演化研究,较为全面地了解舆情事件进展及走向,并在此基础上,提出了针对突发公共安全事件的舆情治理对策与建议,以期为政府或相关部门预测、调控、治理舆情,维护网络环境及社会治安的稳定提供一定的参考与借鉴。
Taking the case of“Bus fell into lake in Anshun Guizhou”as an example,this paper studies the evolution of online public opinions on public security emergencies from two perspectives of text mining and sentiment analysis.Aiming to comprehensively understand the progress and trend of public opinion events,the paper puts forward countermeasures and suggestions for public opinion management of public security events,so as to help the government or relevant departments to predict,regulate and manage public opinions,which is of certain significance to maintain the stability of network environment and social order.
作者
孙宗缘
马秀峰
李奇
Sun Zong-yuan;Ma Xiu-feng;Li Qi
出处
《河北科技图苑》
2021年第5期65-75,共11页
Hebei Library Journal of Science and Technology
基金
国家社会科学基金项目“面向知识流分析的中文文本主题生成模型构建及应用研究”(18BTQ069)研究成果之一。
关键词
网络舆情
情感分析
文本挖掘
演化
Online Public Opinion
Emotion Analysis
Text Mining
Evolution
