Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

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Design and Implementation of an Intelligent Legal Affairs Platform Based on Machine Learning

Authors
Xu Ding1, *
1University of Belarusian State University, Minsk, Belarus
*Corresponding author. Email: guang429710356@qq.com
Corresponding Author
Xu Ding
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_74How to use a DOI?
Keywords
machine learning; legal affairs; natural language processing
Abstract

The legal affairs platform is the most important mechanism for reflecting fairness and justice in our market economic system. It often plays a role in supervising the implementation of laws, the business legal norms of enterprises, the judicial effectiveness of official documents, and the specific process of legal affairs. In the past, there were problems of high risk and low efficiency of human resources in the process of handling legal affairs. Based on the analysis and research of the existing legal affairs management methods and business processes in enterprises, this article adopts the Word2vec recommendation model and MVC three-level structure in natural language processing to conduct research on the design of an intelligent legal affairs platform based on machine learning. It mainly includes: CBOW algorithm optimization, personalized recommendation authorization, dispute management, etc. Finally, based on the optimization method proposed above, an intelligent legal affairs platform based on machine learning was designed and implemented. After experimental verification, the optimized system improved the problems existing in previous legal affairs processing.

Copyright
© 2024 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 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
978-94-6463-238-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_74How to use a DOI?
Copyright
© 2024 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  - Xu Ding
PY  - 2023
DA  - 2023/09/26
TI  - Design and Implementation of an Intelligent Legal Affairs Platform Based on Machine Learning
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 536
EP  - 541
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_74
DO  - 10.2991/978-94-6463-238-5_74
ID  - Ding2023
ER  -