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

Title
A comparative study of automated legal text classification using random forests and deep learning
Authors
Keywords
Legal text classification, Machine learning, Deep learning, Domain concept, Word embedding, Random forests
Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 59, Issue 2, Pages 102798
Publisher
Elsevier BV
Online
2021-11-17
DOI
10.1016/j.ipm.2021.102798

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