Identification and Modeling of College Students’ Loneliness from the Perspective of Big Data a Machine Learning-Based Approach

DOI

10.2991/978-94-6463-034-3_43How to use a DOI?

Keywords

Machine Learning; Loneliness; Algorithms

Abstract

With the advent of the era of big data, the information society inevitably intersects and integrates with everyone's life. Compared with the traditional self-statement scale for psychological measurement, big data network information has advantages such as excellent ecological validity. In this paper, we use the consumption data and access control data of college students in a university as the data source and the employment situation as the target variable to identify and predict the loneliness of college students. In the context of the current COVID-19 epidemic, which is generally in quarantine, this paper provides a realistic basis for this study. By extracting the features from the data, we address the limitations of the machine learning modeling approach for the autonomous identification and prediction of loneliness symptoms and propose further development prospects. This paper provides a practical basis for this research. By extracting features from the data information, we propose the limitations of the machine learning modeling approach for the autonomous identification and prediction of symptoms of loneliness, and propose the future development of this approach.

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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TY  - CONF
AU  - Yuexiang Liu
AU  - Huajie Sui
AU  - Luming Feng
PY  - 2022
DA  - 2022/12/23
TI  - Identification and Modeling of College Students’ Loneliness from the Perspective of Big Data a Machine Learning-Based Approach
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 418
EP  - 425
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_43
DO  - 10.2991/978-94-6463-034-3_43
ID  - Liu2022
ER  -