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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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+
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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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+
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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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+ ```