摘要：

Abstract:

【Purpose/significance】 Using situational awareness theory to draw the evolutionary path of sudden network public opinion

events can better present the trend of public opinion evolution, providing theoretical support for the guidance and control of network

public opinion events.【Method/process】 Based on the theory of situational awareness, a situational awareness model for sudden net⁃

work public opinion events is constructed. Social network analysis methods, deep learning, and TF-IDF theme model methods are ap⁃

plied to analyze the sudden characteristic words in sudden network public opinion events from three stages: situational awareness, situ⁃

ational understanding, and situational prediction. The main driving forces for generating public opinion are explored, and finally, key

nodes in public opinion are excavated, and the development trend of public opinion is analyzed.【Result/conclusion】 The research re⁃

sults indicate that analyzing the development and evolution trends of sudden network public opinion events through situational aware⁃

ness theory can not only uncover the sudden characteristic words in public opinion development, but also reveal the characteristics of

public opinion development at different stages, grasping the evolutionary context of public opinion events.【Innovation/limitation】

Based on the theory of situational awareness, this study innovatively explores the sudden characteristic words and motivations of online

public opinion events, analyzes and judges the evolution path of public opinion. In the future, different events and comments can be

combined to enhance the granularity and universality of research.