本研究采用LDA主题分析法,对2023年S市领导留言板上的公众留言进行了主题挖掘和诉求分析。通过分析留言内容,有效地识别出公众关注的核心问题和关键主题。研究结果显示,公众的诉求主要集中在电商商品、电商平台投诉与索赔、社会保障、...本研究采用LDA主题分析法,对2023年S市领导留言板上的公众留言进行了主题挖掘和诉求分析。通过分析留言内容,有效地识别出公众关注的核心问题和关键主题。研究结果显示,公众的诉求主要集中在电商商品、电商平台投诉与索赔、社会保障、社区治理等七个主题。其中,电商相关主题占据了2个。通过定量和定性的分析方法,本文详细阐述了主题的具体内容和公众的具体诉求,提供了电商与政府部门在优化服务过程和政策制定中的参考依据。In this study, LDA topic analysis was used to explore the topic and analyze the appeal of public messages on the message board of S City leaders in 2023. By analyzing the message content, we can effectively identify the core issues and key themes of public concern. The research results show that the public’s demands are mainly concentrated in seven themes, such as e-commerce goods, e-commerce platform complaints and claims, social security, and community governance. Among them, e-commerce related topics occupy 2. Through quantitative and qualitative analysis methods, this paper elaborated the specific content of the topic and the specific demands of the public, and provided a reference basis for e-commerce and government departments in the process of service optimization and policy formulation.展开更多
文摘本研究采用LDA主题分析法,对2023年S市领导留言板上的公众留言进行了主题挖掘和诉求分析。通过分析留言内容,有效地识别出公众关注的核心问题和关键主题。研究结果显示,公众的诉求主要集中在电商商品、电商平台投诉与索赔、社会保障、社区治理等七个主题。其中,电商相关主题占据了2个。通过定量和定性的分析方法,本文详细阐述了主题的具体内容和公众的具体诉求,提供了电商与政府部门在优化服务过程和政策制定中的参考依据。In this study, LDA topic analysis was used to explore the topic and analyze the appeal of public messages on the message board of S City leaders in 2023. By analyzing the message content, we can effectively identify the core issues and key themes of public concern. The research results show that the public’s demands are mainly concentrated in seven themes, such as e-commerce goods, e-commerce platform complaints and claims, social security, and community governance. Among them, e-commerce related topics occupy 2. Through quantitative and qualitative analysis methods, this paper elaborated the specific content of the topic and the specific demands of the public, and provided a reference basis for e-commerce and government departments in the process of service optimization and policy formulation.
