IRlab@ IITV at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media Using SVM

Anita Saroj, Supriya Chanda, Sukomal Pal
December, 2020
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Abstract

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 F1 score of 0.779 and 0.718 for Arabic and Greek, respectively.

Type
Preprint
Publication
Forum for Information Retrieval Evaluation
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Supriya Chanda
Supriya Chanda
Research Scholar (2018-2024)

Supriya Chanda (pronounced as Supriyo), completed his Ph.D in the Department of Computer Science and Engineering, IIT (BHU), Varanasi. He did his research under the guidance of Dr. Sukomal Pal at the Information retrieval lab.