  In this paper, we present the system submitted to "SemEval-2020 Task 12". The
proposed system aims at automatically identify the Offensive Language in Arabic
Tweets. A machine learning based approach has been used to design our system.
We implemented a linear classifier with Stochastic Gradient Descent (SGD) as
optimization algorithm. Our model reported 84.20%, 81.82% f1-score on
development set and test set respectively. The best performed system and the
system in the last rank reported 90.17% and 44.51% f1-score on test set
respectively.
