Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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Ideological and Political Early Warning Mechanism for Emergencies in University Campus Based on Artificial Intelligence

Authors
Yuting Wang1, *
1School of Marxism, Wuhan University of Science and Technology, Wuhan, China
*Corresponding author. Email: zxbtianyi@vip.com
Corresponding Author
Yuting Wang
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_24How to use a DOI?
Keywords
Early Warning Mechanism; Emergencies In University Campus; Artificial Intelligence
Abstract

In recent years, campus crises have occurred frequently, which has greatly affected the stability and development of colleges and universities. With the rapid development of information technology, the application of artificial intelligence technology in the field of Ideological and political early warning has become an inevitable trend. It will bring great changes and opportunities to the early warning mechanism of emergencies. Through the analysis of campus emergencies, this paper expounds that strengthening ideological and political education is of positive significance to improve the early warning ability and improve the early warning mechanism of colleges and universities. Using machine learning algorithms such as support vector machine, this paper gives the overall architecture, functional module design and system implementation method of campus emergency ideological and political early warning system based on artificial intelligence. The information system based on artificial intelligence is conducive to establish a positive early warning mechanism of Ideological and political work, effectively resolve contradictions and maintain the safety and stability of the campus.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_24
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_24How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuting Wang
PY  - 2022
DA  - 2022/12/02
TI  - Ideological and Political Early Warning Mechanism for Emergencies in University Campus Based on Artificial Intelligence
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 227
EP  - 237
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_24
DO  - 10.2991/978-94-6463-010-7_24
ID  - Wang2022
ER  -