Comparison of data augmentation methods for legal document classification
Sorting out the legal documents by their subject matter is an essential and time-consuming task due to the large amount of data. Many machine learning-based text categorization methods exist, which can resolve this problem. However, these algorithms can not perform well if they do not have enough tr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Széchenyi István University
2021-07-01
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| Series: | Acta Technica Jaurinensis |
| Subjects: | |
| Online Access: | https://acta.sze.hu/index.php/acta/article/view/628 |