ASAD: Arabic Social media Analytics and unDerstanding

Sabit Hassan, Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish


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
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
113–118
Language:
URL:
https://aclanthology.org/2021.eacl-demos.14
DOI:
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.eacl-demos.14.pdf