From "Response" to "Rehearsal": Construction of Public Opinion Risk Simulation and Strategic Intervention Model Based on Artificial Intelligence Emotion Computing

Jianrui Qiu

doi:10.47297/taposatWSP2633-456915.20250611

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From "Response" to "Rehearsal": Construction of Public Opinion Risk Simulation and Strategic Intervention Model Based on Artificial Intelligence Emotion Computing

Volume 6, Issue 11

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From "Response" to "Rehearsal": Construction of Public Opinion Risk Simulation and Strategic Intervention Model Based on Artificial Intelligence Emotion Computing
From "Response" to "Rehearsal": Construction of Public Opinion Risk Simulation and Strategic Intervention Model Based on Artificial Intelligence Emotion Computing
Xiamen Institute of Technology, Xiamen, Fujian, 361024, China
Vol. 6, Issue 11, Pages: 82-87(2025)
Published：30 November 2025
DOI：10.47297/taposatWSP2633-456915.20250611
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Qiu Jianrui.From "Response" to "Rehearsal": Construction of Public Opinion Risk Simulation and Strategic Intervention Model Based on Artificial Intelligence Emotion Computing[J].Theory and Practice of Science and Technology,2025,06(11):82-87.
DOI：

Qiu Jianrui.From "Response" to "Rehearsal": Construction of Public Opinion Risk Simulation and Strategic Intervention Model Based on Artificial Intelligence Emotion Computing[J].Theory and Practice of Science and Technology,2025,06(11):82-87. DOI： 10.47297/taposatWSP2633-456915.20250611.

摘要

Abstract

With the rapid development of artificial intelligence technology

emotion computing has become a key technology in the field of public opinion analysis. This paper proposes a public opinion risk simulation and strategic intervention model based on Artificial Intelligence (AI) emotion computing

aiming to achieve the transformation from passive response to proactive prevention in public opinion governance. Through the integration of natural language processing

deep learning

and multi-modal data analysis technologies

the model realizes the whole-process management of public opinion monitoring

risk early warning

and strategic intervention. The research results show that the model can significantly improve the accuracy and timeliness of public opinion risk identification

providing scientific decision support for government departments and enterprises in public opinion governance.

关键词

Keywords

references

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