@inproceedings{saroj-etal-2020-irlab,
    title = "{IR}lab@{IITV} at {S}em{E}val-2020 Task 12: Multilingual Offensive Language Identification in Social Media Using {SVM}",
    author = "Saroj, Anita  and
      Chanda, Supriya  and
      Pal, Sukomal",
    editor = "Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      May, Jonathan  and
      Shutova, Ekaterina",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.semeval-1.265/",
    doi = "10.18653/v1/2020.semeval-1.265",
    pages = "2012--2016",
    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 $F_1$ score of 0.779 and 0.718 for Arabic and Greek, respectively."
}