基于文本挖掘的突发公共事件网络舆情治理研究
Research on network public opinion governance of Public Emergencies Based on Text Mining
投稿时间:2021-12-09  修订日期:2022-02-05
DOI:
中文关键词:  突发公共事件  网络舆情  舆情治理  文本挖掘
English Keywords:Public emergencies  Online public opinion  Public opinion governance  Text mining
Fund Project:
作者单位邮编
彭仲生* 南华大学经济管理与法学学院 421001
谌雯洁 南华大学经济管理与法学学院 421001
义莲 南华大学经济管理与法学学院 421001
摘要点击次数: 264
全文下载次数: 0
中文摘要:
      基于2008-2021年CNKI数据库中收录的133条有关突发公共事件网络舆情治理研究的论文数据进行可视化分析,通过文献趋势图、词云图、语义网络分析、LDA主题模型的特征分析进行语义挖掘。挖掘出突发公共事件网络舆情治理中的突出问题,了解阻碍网络舆情防控与治理之因。提出构建网络舆情预警机制、建立网络舆论治理机制、健全传播者和接受者引导与培育机制、完善网络舆情法制与追责机制、优化网络舆情多元联动共治机制。以期对突发公共事件中网络舆情有效监管,整治网络谣言乱象,最大程度地预防和减少突发公共事件的发生。
English Summary:
      Based on the data of 133 papers on network public opinion governance of public emergencies collected in CNKI database from 2008 to 2021, this paper makes visual analysis, and carries out semantic mining through literature trend map, word cloud map, semantic network analysis and feature analysis of LDA topic model. Dig out the prominent problems in the network public opinion governance of public emergencies, and understand the reasons that hinder the prevention, control and governance of network public opinion. It is proposed to construct the early warning mechanism of network public opinion, establish the governance mechanism of network public opinion, improve the guidance and cultivation mechanism of communicators and receivers, improve the legal system and accountability mechanism of network public opinion, and optimize the multi linkage and co governance mechanism of network public opinion. In order to effectively supervise the network public opinion in public emergencies, rectify the chaos of network rumors, and prevent and reduce the occurrence of public emergencies to the greatest extent.
  查看/发表评论  下载PDF阅读器
关闭