[目的/意义]近年来，引入大数据技术对网络舆情进行整合治理已成为趋势，如何精准识别舆情发展阶段 是舆情治理的重要内容。[方法/过程]文章依据网络舆情系统理论与网络舆情生命周期理论，聚焦突发公共事件 网络舆情衰退期，构建突发公共事件网络舆情衰退期研判指标体系；通过Python爬虫技术获取数据，结合SKEP 算法及RBF神经网络进行多案例实证分析。[结果/结论]文章构建了突发公共事件网络舆情衰退期研判指标体 系，RBF神经网络验证了指标体系的可行性，提出了应对不同突发公共事件网络舆情衰退期的引导策略。为政府 网络舆情治理、定位网络舆情关键节点、加速网络舆情衰退提供相应的理论参考。

[Purpose/significance] In recent years, it has become a trend to introduce big data technology to integrate and manage online public opinion. How to accurately identify the development stage of public opinion is an important content of public opinion governance. [Method/process] Based on the network public opinion system theory and the network public opinion life cycle theory, the article focuses on the decline period of the network public opinion in emer? gencies, and builds a research and judgment index system for the decline period of the network public opinion in emer? gencies; the data is obtained through Python crawler technology, combined with SKEP Algorithm and RBF neural net? work for multi-case empirical analysis. [Result/conclusion] This paper constructs an index system for judging the de? cline period of network public opinion in emergencies, and the RBF neural network verifies the feasibility of the index system, and proposes a guiding strategy to deal with the decline period of network public opinion in different emergen? cies. It provides corresponding theoretical references for government network public opinion governance, locating key nodes of network public opinion, and accelerating the decline of network public opinion.