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This article is cited in 1 scientific paper (total in 1 paper)
Development of legal document classification system based on support vector machine
Yu. Nasu, V. V. Lanin National Research University "Higher School of Economics"
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.
Keywords:
FastAPI, Legal Tech, Supervised Learning, Support Vector Machine
Citation:
Yu. Nasu, V. V. Lanin, “Development of legal document classification system based on support vector machine”, Proceedings of ISP RAS, 35:2 (2023), 49–56
Linking options:
https://www.mathnet.ru/eng/tisp769 https://www.mathnet.ru/eng/tisp/v35/i2/p49
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Abstract page: | 23 | Full-text PDF : | 5 |
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