Classification criteria for various stakeholders.

ObjectiveTo explore the different processes of the themes and emotional evolution of various stakeholders in the network public opinion of sudden public health emergencies at different stages of the public opinion evolution lifecycle.MethodsThis paper proposes a cross-platform analysis method for online public opinion during the public health emergencies based on stakeholders. Firstly, data from multiple platforms are collected and integrated. Secondly, stakeholders are categorized and the stages of public opinion evolution are determined based on stakeholder theory and lifecycle theory. Finally, the Latent Dirichlet Allocation (LDA)+Word2vec model and Convolutional Neural Network (CNN) model are used to analyze the themes and emotional evolution of stakeholders during different stages of public opinion evolution.ResultsThere are differences in the evolution patterns of different types of stakeholders. The evolution process of stakeholders’ focus points exhibits a two-stage transition from concentration to divergence. The focus points of stakeholders are closely associated with their respective social domains. The emotions of the public undergo a three-stage process of positive-negative-positive change.ConclusionsThis study can provide a reference for the government to have a more comprehensive understanding of the development trend of public opinion and reduce the negative impact of public opinion.研究目的：本研究旨在探究突发公共卫生事件网络舆情在其演化生命周期各阶段中，各类利益相关方的主题聚焦与情感演化的差异化进程。 研究方法：本文提出一种基于利益相关方理论的突发公共卫生事件网络舆情跨平台分析方法。首先，采集并整合多平台舆情数据；其次，依据利益相关方理论与舆情生命周期理论，对利益相关方进行分类并划分舆情演化阶段；最后，采用潜在狄利克雷分配（Latent Dirichlet Allocation，LDA）+Word2vec模型与卷积神经网络（Convolutional Neural Network，CNN）模型，分析舆情演化不同阶段内利益相关方的主题聚焦与情感演化规律。 研究结果：不同类型利益相关方的舆情演化模式存在显著差异；利益相关方的关注焦点演化进程呈现出从集中到分散的两阶段转变特征；不同利益相关方的关注焦点与其所属社会领域高度相关；公众情绪则经历了“正向—负向—正向”的三阶段变化过程。 研究结论：本研究可为政府全面掌握舆情发展态势、降低舆情负面影响提供参考借鉴。