NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets
Hamada Nayel · 2020
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. Related WorkRecently, offensive language detection has gained significant attention and a lot of contributions have been recorded in this area (Waseem et al., 2017;