About this document
JCSSP 2024 157 167 by Roudaina. Rahem. is a document available to read on EtoBox.
This research paper focuses on improving sentiment analysis for the Moroccan dialect using Arabic BERT-based models, specifically AraBERT, QARIB, ALBERT, AraELECTRA, and CAMeLBERT. The study integrates these models with deep learning and machine learning algorithms, achieving a notable accuracy of 96% with the QARIB model, even on imbalanced datasets. The findings highlight the effectiveness of BERT-based models in sentiment analysis compared to traditional methods, contributing to advancements in Arabic di
- Author
- Roudaina. Rahem.
- Language
- EN