Abstract
This system demonstration paper describes ASAD: Arabic Social media Analysis and unDerstanding, a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam in Arabic tweets. The suite is made available through a web API and a web interface where users can enter text or upload files.- Anthology ID:
- 2021.eacl-demos.14
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Editors:
- Dimitra Gkatzia, Djamé Seddah
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 113–118
- Language:
- URL:
- https://aclanthology.org/2021.eacl-demos.14
- DOI:
- 10.18653/v1/2021.eacl-demos.14
- Cite (ACL):
- Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali, and Kareem Darwish. 2021. ASAD: Arabic Social media Analytics and unDerstanding. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 113–118, Online. Association for Computational Linguistics.
- Cite (Informal):
- ASAD: Arabic Social media Analytics and unDerstanding (Hassan et al., EACL 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2021.eacl-demos.14.pdf