A comparative study of automated legal text classification using random forests and deep learning

Automated legal text classification is a prominent research topic in the legal field. It lays the foundation for building an intelligent legal system. Current literature focuses on international legal texts, such as Chinese cases, European cases, and Australian cases. Little attention is paid to tex...

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Veröffentlicht in:	Information processing & management 2022-03, Vol.59 (2), p.102798, Article 102798
Hauptverfasser:	Chen, Haihua, Wu, Lei, Chen, Jiangping, Lu, Wei, Ding, Junhua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Automation Classification Comparative studies Deep learning Documents Domain concept Domains Information processing Legal information Legal text classification Machine learning Neural networks Random forests Text categorization Texts Word embedding
Online-Zugang:	Volltext
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