A Hybrid Deep Learning-Machine Learning Stacking Model for Yemeni Arabic Dialect Sentiment Analysis

A Hybrid Deep Learning-Machine Learning Stacking Model for Yemeni Arabic Dialect Sentiment Analysis

With the rise of online communities, Yemeni Arabic has gained increasing exposure to written social media content. Nevertheless, sentiment analysis studies have largely centered on Modern Standard Arabic (MSA) and other regional varieties (e.g., Egyptian, Levantine, Gulf), leaving the Yemeni dialect...

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Bibliographic Details
Main Authors: Alaa Abdulkareem Hameed Brihi, Mossa Ghurab
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
Yemeni Arabic dialect
deep learning
machine learning
lexicon-based
hybrid approach
Online Access:https://ieeexplore.ieee.org/document/11097878/
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https://ieeexplore.ieee.org/document/11097878/

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