Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
10K - 100K
License:
Upload README.md
Browse files
README.md
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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:
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- 0 (Negative): **17,033 (34.06%)**
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- 1 (Neutral): **11,136 (22.26%)**
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- 2 (Positive): **21,847 (43.68%)**
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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:
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- 0 (Negative): **17,033 (34.06%)**
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- 1 (Neutral): **11,136 (22.26%)**
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- 2 (Positive): **21,847 (43.68%)**
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Please note that there are some swear words in the dataset, so please use it with caution.
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# Citation
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If you find our work useful, please cite it as follows:
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```bibtex
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@article{2023,
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title={Sentiment Analysis on Algerian Dialect with Transformers},
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author={Zakaria Benmounah and Abdennour Boulesnane and Abdeladim Fadheli and Mustapha Khial},
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journal={Applied Sciences},
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volume={13},
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number={20},
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pages={11157},
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year={2023},
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month={Oct},
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publisher={MDPI AG},
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DOI={10.3390/app132011157},
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ISSN={2076-3417},
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url={http://dx.doi.org/10.3390/app132011157}
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}
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```
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