Boosting Arabic text classification using hybrid deep learning approach

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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Bibliographic Details
Main Authors: Eman Alnagi, Rawan Ghnemat, Qasem Abu Al-Haija
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Applied Sciences
Subjects:
Arabic text classification (ATC)
Convolutional neural network (CNN)
Long short term memory (LSTM)
Inception module
SANAD dataset
NADiA dataset
Online Access:https://doi.org/10.1007/s42452-025-07025-x
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