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Research on Precise Ideology and Politics of College Students Based on Cluster Analysis Algorithm

Published: 30 May 2024 Publication History

Abstract

In the age of big data, in order to carry out accurate ideological and political work, this paper proposes a precise ideological and political work model that takes the personality traits of cartels as the personality attributes of students, uses the cluster analysis algorithm to cluster the student groups, and carries out ideological and political education for students according to different categories, and proposes the education scheme for the three types of student groups: the class leader, the majority of the students in the class and the students who may have psychological problems.

References

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Wenlin Huang. 2021 Precise Ideological and Political Exploration in Colleges and Universities Based on Student Portrait Analysis form Journal of Northeastern University (Social Science), 2021, 23(03): 104-111.
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Jingnan Li, Ruizhang Huang, Lina Ren. 2023 Semi-supervised deep text clustering that the user intent supplements from Computer Science and Exploration: 1-11. 2023, 05-29. http://kns.cnki.net/kcms/detail/11.5602.TP.20220426.1913.004.html.
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Chi Y, Liu Y, Liu M. Bright Future for the Higher Education System: Evaluation and Analysis Based on the “HEPTT Model” [J]. International Journal of New Developments in Education, 2021, 3.0(3.0):
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Qasem A A, Mustafa A. An intelligent identification and classification system for malicious uniform resource locators (URLs). [J]. Neural computing applications, 2023, 35(23):11-17.
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Kuo Pang, Ning Kang. 2022 Cluster analysis of fuzzy object language concepts based on kernel method from Fuzzy Systems and Mathematics, [3], 2022, 36(01):31-46.
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Yongfen Ruan. 2023 Research on the distribution of rock and soil parameters in lactomatic sedimentary soil layer based on optimal k-value k-means cluster analysis from Journal of Guizhou University (Natural Science Edition), 2023, 40(02): 89-96.
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Guangjian Wu, 2019 Research on the method of automatic acquisition of K value based on K-means elbow method from Software, 2019, 40(05):167-170.
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Rachid S, Ali Z E. An Optimized Approach for Prostate Image Segmentation Using K-Means Clustering Algorithm with Elbow Method [J]. Computational Intelligence and Neuroscience, 2021, 20214553832-4553832.

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  1. Research on Precise Ideology and Politics of College Students Based on Cluster Analysis Algorithm

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    ICIEAI '23: Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence
    December 2023
    1132 pages
    ISBN:9798400716157
    DOI:10.1145/3660043
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 May 2024

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