With the popularization of social media,public opi-nion information on emergencies spreads rapidly on the Internet,the impact of negative public opinions on an event has become more significant.Based on the organizati...With the popularization of social media,public opi-nion information on emergencies spreads rapidly on the Internet,the impact of negative public opinions on an event has become more significant.Based on the organizational form of public opinion information,the knowledge graph is used to construct the knowledge base of public opinion risk cases on the emer-gency network.The emotion recognition model of negative pub-lic opinion information based on the bi-directional long short-term memory(BiLSTM)network is studied in the model layer design,and a linear discriminant analysis(LDA)topic extraction method combined with association rules is proposed to extract and mine the semantics of negative public opinion topics to real-ize further in-depth analysis of information topics.Focusing on public health emergencies,knowledge acquisition and knowl-edge processing of public opinion information are conducted,and the experimental results show that the knowledge graph framework based on the construction can facilitate in-depth theme evolution analysis of public opinion events,thus demon-strating important research significance for reducing online pub-lic opinion risks.展开更多
全媒体环境下,重大舆情与突发事件舆论引导及相应的科学研究问题日益凸显出行为的复杂性、结构的复杂性、要素间关联的复杂性和环境的复杂性,向目前的引导研究方法论提出新的挑战。以Web of Science和中国知网(China national knowledge...全媒体环境下,重大舆情与突发事件舆论引导及相应的科学研究问题日益凸显出行为的复杂性、结构的复杂性、要素间关联的复杂性和环境的复杂性,向目前的引导研究方法论提出新的挑战。以Web of Science和中国知网(China national knowledge infrastructure,CNKI)数据库为数据来源,围绕重大舆情与突发事件本身的分析挖掘、指标体系、传播和演化,以及舆论引导策略的宏观政策、态势研判、演化仿真预测和应急响应研究展开述评梳理,最后总结了重大舆情和突发事件舆论引导理论方法、研判分析和预警研究面临的挑战和发展趋势,有助于帮助数智驱动应急管理体系和能力建设发展中新机遇和新挑战方面的落实。展开更多
基金supported by the National Social Science Foundation Major Project(22&ZD135)the National Social Science Fund National Emergency Management System Construction Research Project(20VYJ061).
文摘With the popularization of social media,public opi-nion information on emergencies spreads rapidly on the Internet,the impact of negative public opinions on an event has become more significant.Based on the organizational form of public opinion information,the knowledge graph is used to construct the knowledge base of public opinion risk cases on the emer-gency network.The emotion recognition model of negative pub-lic opinion information based on the bi-directional long short-term memory(BiLSTM)network is studied in the model layer design,and a linear discriminant analysis(LDA)topic extraction method combined with association rules is proposed to extract and mine the semantics of negative public opinion topics to real-ize further in-depth analysis of information topics.Focusing on public health emergencies,knowledge acquisition and knowl-edge processing of public opinion information are conducted,and the experimental results show that the knowledge graph framework based on the construction can facilitate in-depth theme evolution analysis of public opinion events,thus demon-strating important research significance for reducing online pub-lic opinion risks.
文摘全媒体环境下,重大舆情与突发事件舆论引导及相应的科学研究问题日益凸显出行为的复杂性、结构的复杂性、要素间关联的复杂性和环境的复杂性,向目前的引导研究方法论提出新的挑战。以Web of Science和中国知网(China national knowledge infrastructure,CNKI)数据库为数据来源,围绕重大舆情与突发事件本身的分析挖掘、指标体系、传播和演化,以及舆论引导策略的宏观政策、态势研判、演化仿真预测和应急响应研究展开述评梳理,最后总结了重大舆情和突发事件舆论引导理论方法、研判分析和预警研究面临的挑战和发展趋势,有助于帮助数智驱动应急管理体系和能力建设发展中新机遇和新挑战方面的落实。
