ARACOVID19-SSD: ARABIC COVID-19 SENTIMENT AND SARCASM DETECTION DATASET

Description

AraCOVID19-SSD is a manually annotated Arabic COVID-19 sarcasm and sentiment detection dataset containing 5,162 tweets. The lables that are used in the dataset are the following:

Examples

Examples of the instances from the dataset are provided in the below Table:

Statistics

The statistics the dataset are provided in the below Table:

Citations

If you want to use the dataset please cite the following arXiv paper:

@article{ameur2021aracovid19,
  title={Aracovid19-ssd: Arabic covid-19 sentiment and sarcasm detection dataset},
  author={Ameur, Mohamed Seghir Hadj and Aliane, Hassina},
  journal={arXiv preprint arXiv:2110.01948},
  year={2021}
}

Baseline Results

The baseline results that have been obtained when using the dataset are reported in the following Table:

Contacts:

For all questions please contact mohamedhadjameur@gmail.com