Development of Legal Document Classification System Based on Support Vector Machine

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.