基于LDA-DLNB网络舆情识别的应急管理智库决策研究
Research on Emergency Management Think Tank Decision-making Based on LDA-DLNB Online Public Opinion Recognition
熊励 1陆梦园 1王锟1
作者信息
摘要
[目的/意义]网络舆情信息在突发事件应对中有着不容忽视的传播影响力.完善舆论引导是中国特色新型智库的重要功能之一.做好网络舆情识别是应急管理智库提高综合研判能力的关键.[方法/过程]本文从应急管理智库建设角度出发,聚焦突发事件网络舆情信息中潜在的关键热点与情感结构识别问题,通过机器学习方法构建LDA-LDNB网络舆情信息挖掘模型,并基于突发事件网络舆情文本信息进行模型验证和实证分析.[结果/结论]本文构建的模型能很好地识别突发事件中网络舆情信息的主题、情感与演化特征,为应急管理智库提高应急管理决策服务能力提供方法支持,为构建数据驱动的应急管理智库提供新的思路.
Abstract
[Purpose/Significance]Network public opinion information has a significant communication in-fluence in emergency response.Improving public opinion guidance is one of the important functions of new think tanks with Chinese characteristics,and effectively identifying network public opinion is the key for emergency management think tanks to enhance their comprehensive research and judgment abilities.[Method/Process]From the perspective of constructing emergency management think tanks,this paper focuses on identifying potential key hotspots and emotional structures in network public opinion information related to emergencies.It constructs the LDA-LDNB network public opinion information mining model using the machine learning method,and conducts model validation and empirical analysis based on the textual information from network public opinion regarding emergencies.[Result/Conclusion]The results demonstrate that the model constructed in this paper can effectively identify the themes,emotions and evolutionary features of network public opinion information during emergen-cies,provide methods and decision-making support for emergency management think tanks to improve their abil-ity to participate in network public opinion research and judgment for emergency management decision-making services,and offer a new way of thinking for constructing a data-driven emergency management think tank.
关键词
应急管理智库/突发事件/网络舆情/文本分析Key words
emergency management/think tank/critical incident/online public opinion/text analysis引用本文复制引用
基金项目
国家社会科学基金重大项目(21ZDA105)
出版年
2024
国家科技期刊平台
NSTL
万方数据