IRlab@IITV at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media Using SVM
Anita Saroj, Supriya Chanda, Sukomal Pal · 2020
This paper describes the IRlab@IIT-BHU system for the OffensEval 2020.We take the SVM with TF-IDF features to identify and categorize hate speech and offensive language in social media for two languages.In subtask A, we used a linear SVM classifier to detect abusive content in tweets, achieving a macro F 1 score of 0.779 and 0.718 for Arabic and Greek, respectively.