A hybrid model for low-resource language text classification and comparative analysis

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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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Bibliographic Details
Main Authors:	Salleh, Amran, Osman, Mohd Hafeez, Hassan, Sa'adah, Said, Mar Yah, Sharif, Khaironi Yatim, Wei, Koh Tieng
Format:	Article
Language:	English
Published:	Elsevier 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/119285/ http://psasir.upm.edu.my/id/eprint/119285/1/119285.pdf

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