The Evaluation Model of College Ideological and Political Education Reform Based on SVM
- DOI
- 10.2991/978-94-6463-058-9_115How to use a DOI?
- Keywords
- SVM; university ideological and Politics; big Data
- ABSTRACT
The Internet, as a computer Internet network, has a lot of images, sound, text and other types of information and data, which makes most of the network resources mainly appear in the form of text. In view of the problems of information feedback stagnation and imperfect early warning mechanism in ideological and political education in higher vocational colleges, better technology is needed to solve them. In order to better understand the results of ideological and political reform and development in colleges and universities, this paper establishes an evaluation model based on ideological and political education reform in colleges and universities in SVM, expounds the current status of ideological and political development in colleges and universities, and puts forward their own views in view of the current problems, aiming to accelerate the progress of ideological and political teaching reform in colleges and universities.
- 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
TY - CONF AU - Xinnan Li PY - 2022 DA - 2022/12/27 TI - The Evaluation Model of College Ideological and Political Education Reform Based on SVM BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 738 EP - 742 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_115 DO - 10.2991/978-94-6463-058-9_115 ID - Li2022 ER -