Polish Court Ruling Classification Using Deep Neural Networks

Autor:	Łukasz Kostrzewa, Robert Nowak
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	law text classification machine learning natural language processing artificial neural networks Polish court rulings Chemical technology TP1-1185
Zdroj:	Sensors, Vol 22, Iss 6, p 2137 (2022)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s22062137
Popis:	In this work, the problem of classifying Polish court rulings based on their text is presented. We use natural language processing methods and classifiers based on convolutional and recurrent neural networks. We prepared a dataset of 144,784 authentic, anonymized Polish court rulings. We analyze various general language embedding matrices and multiple neural network architectures with different parameters. Results show that such models can classify documents with very high accuracy (>99%). We also include an analysis of wrongly predicted examples. Performance analysis shows that our method is fast and could be used in practice on typical server hardware with 2 Processors (Central Processing Units, CPUs) or with a CPU and a Graphics processing unit (GPU).
Databáze:	Directory of Open Access Journals
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