Arabert Large Algerian

🚀 BERT Models Fine-tuned on Algerian Dialect Sentiment Analysis

These models fine-tune different BERT architectures on Algerian dialect sentiment analysis, leveraging YouTube comment data. They offer a range of parameter sizes and performance metrics for sentiment analysis tasks in the Algerian context.

🚀 Quick Start

These are different BERT models (BERT Arabic models are initialized from AraBERT) fine-tuned on the Algerian Dialect Sentiment Analysis dataset. The dataset contains 50,016 comments from YouTube videos in Algerian dialect. The models are evaluated on the testing set:

📚 Documentation

Dataset

• Name: Abdou/dz-sentiment-yt-comments
• Language: Arabic (Algerian dialect)
• Size: 50,016 YouTube comments

Metrics

• F1-score
• Accuracy

Library

• Name: transformers

📄 License

This project is licensed under the MIT license.

📚 Citation

If you find our work useful, please cite it as follows:

@article{2023,
  title={Sentiment Analysis on Algerian Dialect with Transformers},
  author={Zakaria Benmounah and Abdennour Boulesnane and Abdeladim Fadheli and Mustapha Khial},
  journal={Applied Sciences},
  volume={13},
  number={20},
  pages={11157},
  year={2023},
  month={Oct},
  publisher={MDPI AG},
  DOI={10.3390/app132011157},
  ISSN={2076-3417},
  url={http://dx.doi.org/10.3390/app132011157}
}