Boosting Arabic text classification using hybrid deep learning approach
Abstract As a significant natural language processing task (NLP), Arabic text classification is essential for efficiently processing and analyzing Arabic language content in various digital forms, such as information retrieval, sentiment analysis, and topic modeling. Deep Learning architectures, suc...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07025-x |
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