基于情感特征和主题挖掘的日本福岛核污水排海事件舆情分析  

Network Public Opinion Analysis of the Fukushima Nuclear Sewage Disposal in Japan based on Emotional Features and Topic Mining

作　　者：雷少娟 刘新华 王晓峰 刘瑞桓 Lei Shaojuan;Liu Xinhua;Wang Xiaofeng;Liu Ruihuan(Nuclear and Radiation Safety Center,MEE,Beijing 100082,China)

机构地区：[1]生态环境部核与辐射安全中心,北京100082

出　　处：《核安全》2024年第4期54-63,共10页Nuclear Safety

摘　　要：福岛核污水排海事件是一个备受国内外公众关注的话题,探寻舆情演化过程、分析公众的情感倾向及其关注的焦点问题对舆情应对和公众沟通具有重要意义。本文采用文本挖掘技术,结合社交媒体、新闻媒体、公众评论等舆情数据,首先对排海事件舆情的演化趋势进行研究,并统计整理舆情发展的过程中公众参与讨论的话题;选择5个典型话题的评论文本研究公众的情感特征,并运用LDA主题分析模型挖掘公众关注的焦点问题。基于研究结果给出排海事件后续舆情应对及类似重大事件舆情应对的建议及对策,并为核能公众沟通在重大核事故应对问题上提供参考。The Fukushima nuclear Sewage Disposal incident is a topic of great public concern both domestically and internationally.Exploring the evolution process of public opinion,analyzing the emotional tendencies of the public,and focusing on key issues are of great significance for public opinion response and communication.Using text mining technology and combining public opinion data from social media,news media,public comments,etc.,this study investigates the evolution trend of public opinion in sea discharge events,and statistically organizes the topics of public participation and discussion during the development of public opinion;Select 5 typical topic comment texts to study the emotional tendencies of the public,and use the LDA topic analysis model to explore the focal issues of public concern.Based on the research results,provide suggestions and countermeasures for public opinion response to sea discharge incidents and similar major events,and provide reference for nuclear energy public communication on major nuclear accident response issues.

关 键 词：核污水排海 网络舆情 情感分析 LDA主题挖掘 

分 类 号：TM623.8[电气工程—电力系统及自动化] C912.6[经济管理]