UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic

We utilized a pre-trained model to classify Arabic text. After conducting extensive research, we found that MarBERT was the best model for classifying Arabic offensive tweets. It focuses on dialectal Arabic (DA) and Modern Standard Arabic (MSA). The competition involves two shared sub-tasks: detecting whether a tweet is offensive or not; and det…

This Jupyter Notebook demonstrates Arabic text classification using the MARBERT model, incorporating cross-validation to ensure robust performance evaluation.

the following notebook is to train MARBERT Model for Arabic tweet classification

FineTuning LLMs and MLs models

Ai Application For Enhancing Customer Services

We compare the performance of multiple BERT-based models for the task of Emotion recognition in Arabic Tweets.