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Publication Date
Mon Sep 07 2026
Journal Name
Twms Journal Of Applied And Engineering Mathematics
Volume
16
Issue Number
9
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Articles
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THE QUANTILE GARCH-DISTRIBUTED LAG (QGDL) FRAMEWORK: A UNIFIED MODEL FOR HIGH-VOLATILITY TIME SERIES
Quantile regression
GARCH
QARDL
Conditional heteroskedasticity
Volatility clustering
Maryam Jumaa Mousa
Munaf Yousif Hmood
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TWMS Journal of Applied and Engineering Mathematics | Volume: 16 Issue: 9

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Improving Arabic Text Classification Accuracy Using Lightweight NLP Techniques
Arabic natural language processing
Arabic text classification
TF-IDF method
Chi-Square feature selection
linear SVM classifier
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Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo

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