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AraSenCorpus

AraSenCorpus: The corpus contains more than 4.5 million Arabic tweets tagged with 3 sentiment categories:

  1. Positive
  2. Negative
  3. Neutral

The corpus contains an Arabic text in both modern standard Arabic and dialectical Arabic. It is freely available for research purposes only. Kindly cite the following paper:


@article{al2021arasencorpus,
title={Arasencorpus: A semi-supervised approach for sentiment annotation of a large arabic text corpus},
author={Al-Laith, Ali and Shahbaz, Muhammad and Alaskar, Hind F and Rehmat, Asim},
journal={Applied Sciences},
volume={11},
number={5},
pages={2434},
year={2021},
publisher={Multidisciplinary Digital Publishing Institute}
}

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