Development of Legal Document Classification System Based on Support Vector Machine
https://doi.org/10.15514/ISPRAS-2023-35(2)-4
Abstract
This paper was prepared while developing text classification system for legal documents, especially those that issued by Legislative Assembly of Perm Krai. The problem in question is a lack of solutions that meet regional requirements, the main of which is the classification used in region. The research that evaluates applications of Natural Language Processing models is conveyed. The primary result of the study is the actual applicability of Support Vector Machine (SVM) to preprocessed legal document categorization. There were a server-side API constructed to perform the task, and a server-side models pre-trained of which SVM is favored.
About the Authors
Yuri NASU
HSE University
Russian Federation
Russian Federation
3rd year student of the direction «Software Engineering» of the Faculty of Socio-Economic and Computer Science, HSE University, Perm
Vyacheslav Vladimirovich LANIN
HSE University
Russian Federation
Russian Federation
Senior Lecturer, Department of Information Technologies in Business, Faculty of Socio-Economic and Computer Science, HSE University, Perm
References
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Review
For citations:
NASU Yu., LANIN V.V. Development of Legal Document Classification System Based on Support Vector Machine. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2023;35(2):49-56. https://doi.org/10.15514/ISPRAS-2023-35(2)-4
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