metadata

license: mit
datasets:
  - Abdou/dz-sentiment-yt-comments
language:
  - ar
metrics:
  - f1
  - accuracy
library_name: transformers

BERT Models Fine-tuned on Algerian Dialect Sentiment Analysis

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:

Model Version	No. of Parameters	Training Time	F1-Score	Accuracy
LSTM	~4 M	3 min	0.7399	0.7445
Bi-LSTM	~4.3 M	6 min 35 s	0.7380	0.7437
BERT Base	~109.5 M	33 min 20 s	0.6979	0.7500
BERT Large	~335.1 M	1 h 50 min	0.6976	0.7484
BERT Arabic Mini	~11.6 M	2 min 40 s	0.7057	0.7527
BERT Arabic Medium	~42.1 M	11 min 25 s	0.7521	0.7860
BERT Arabic Base	~110.6 M	34 min 19 s	0.7688	0.8002
BERT Arabic Large	~336.7 M	1 h 53 min	0.7838	0.8174

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}
}