A hybrid model for low-resource language text classification and comparative analysis
Context: The growing digital content in many languages helps users share diverse information. However, classifying user reviews is time-consuming and biased. Transformers like BERT excel in NLP, but low-resource languages still face challenges due to limited data, computational resources, and lingui...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119285/1/119285.pdf http://psasir.upm.edu.my/id/eprint/119285/ https://linkinghub.elsevier.com/retrieve/pii/S095070512501113X |
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