Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
10K<n<100K
Tags:
License:
File size: 1,079 Bytes
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---
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:
```bibtex
@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}
}
```
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