IR3218-UI at SemEval-2020 Task 12: Emoji Effects on Offensive Language IdentifiCation
Sandy Kurniawan, Indra Darmawan Budi, Muhammad Okky Ibrohim · 2020
In this paper, we present our approach and the results of our participation in OffensEval 2020.There are three sub-tasks in OffensEval 2020, namely offensive language identification (sub-task A), automatic categorization of offense types (sub-task B), and offense target identification (subtask C).We participated in sub-task A of English OffensEval 2020.Our approach emphasizes on how the emoji affects offensive language identification.Our model used LSTM combined with GloVe pre-trained word vectors to identify offensive language on social media.The best model obtained macro F1-score of 0.88428.