%0 Conference Proceedings %T ASAD: Arabic Social media Analytics and unDerstanding %A Hassan, Sabit %A Mubarak, Hamdy %A Abdelali, Ahmed %A Darwish, Kareem %Y Gkatzia, Dimitra %Y Seddah, Djamé %S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations %D 2021 %8 April %I Association for Computational Linguistics %C Online %F hassan-etal-2021-asad %X 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. %R 10.18653/v1/2021.eacl-demos.14 %U https://aclanthology.org/2021.eacl-demos.14 %U https://doi.org/10.18653/v1/2021.eacl-demos.14 %P 113-118