Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis

Evaluating ChatGPT-4 and Machine Learning Models for Sentiment Analysis on a Multi-Script Moroccan Arabic Corpus: Insights, Challenges, and Future Directions

The application of Large Language Models (LLMs) to low-resource languages and dialects, such asMoroc

rdhinaz/BERT-Fine-Tuned-Hausa

altaseb12/Automatic-Amharic-Text-News-Classification-Using-Fine--Tuned-BERT-Models

Automatic Amharic Text News Classification Using Fine- Tuned BERT Models like XML-R,Afri berta

Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation

Despite its significance, Arabic, a linguistically rich and morphologically complex language, faces

Sentiment Analysis in Maghrebi Arabic Dialects with Enhanced BERT Models and Big Data Processing

adedejimakinde/Zero-Shot-vs.-Fine-Tuned-Approaches-for-Yoruba-Sentiment-Analysis

Zero-Shot vs. Fine-Tuned Approaches for Yoruba Sentiment Analysis: Examining the Role of Sub-word To