E3S Web Conf.
Volume 290, 20212021 3rd International Conference on Geoscience and Environmental Chemistry (ICGEC 2021)
|Number of page(s)||3|
|Section||Geological and Hydrological Structure and Environmental Planning|
|Published online||14 July 2021|
Taking AI Neural Network to Analyze Labor Rights and Labor Disputes
Nanfang College of Sun Yat-Sen University, Guangzhou, 510970, China
* Corresponding author’s e-mail: firstname.lastname@example.org
Exploring labor rights on the cognition of relationship with labor dispute is not only from the direct role of workers and HR, but also from the fight for labor rights of college students. However, many labor disputes in labor process are mainly related to labor rights. Therefore, we explore the relationship between labor rights and labor disputes, use neural network analysis and questionnaire survey method, and execute AI combining with big data analysis tools to collect first-hand data from two aspects of college students, workers in the industry, HR and labor dispatch personnel. Finally, the results show that: (1) there is a negative correlation between social security and labor disputes; (2) there is a negative correlation between labor safety and labor disputes; (3) there is a negative correlation between wages and labor disputes; (4) there is a negative correlation between labor contract signing and labor disputes; (5) there is a positive correlation between rights awareness and labor disputes.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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