metadata

license: mit
task_categories:
  - text-classification
language:
  - ar
size_categories:
  - 10K<n<100K

A Sentiment Analysis Dataset for the Algerian Dialect of Arabic

This dataset consists of 50,016 samples of comments extracted from Algerian YouTube channels. It is manually annotated with 3 classes (the label column) and is not balanced. Here are the number of rows of each class:

0 (Negative): 17,033 (34.06%)
1 (Neutral): 11,136 (22.26%)
2 (Positive): 21,847 (43.68%)

Please note that there are some swear words in the dataset, so please use it with caution.

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}
}