Enhancing Moroccan Dialect Sentiment Analysis Through Optimized Preprocessing and Transfer Learning Techniques

Enhancing Moroccan Dialect Sentiment Analysis Through Optimized Preprocessing and Transfer Learning Techniques

This work investigates the challenges of sentiment analysis for Moroccan Arabic dialect (MD), where the lack of dialect-specific preprocessing methods complicates natural language processing tasks and affects sentiment classification performance. The research evaluates various preprocessing techniqu...

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Bibliographic Details
Main Authors: Yassir Matrane, Faouzia Benabbou, Zineb Ellaky
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
Arabic dialect
Moroccan dialect
preprocessing
deep learning
fine-tuning
Online Access:https://ieeexplore.ieee.org/document/10788699/
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https://ieeexplore.ieee.org/document/10788699/

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