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IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text

Computation and Language 2021-08-02 v1

Abstract

This paper presents the results obtained by our SVM and XLM-RoBERTa based classifiers in the shared task Dravidian-CodeMix-HASOC 2020. The SVM classifier trained using TF-IDF features of character and word n-grams performed the best on the code-mixed Malayalam text. It obtained a weighted F1 score of 0.95 (1st Rank) and 0.76 (3rd Rank) on the YouTube and Twitter dataset respectively. The XLM-RoBERTa based classifier performed the best on the code-mixed Tamil text. It obtained a weighted F1 score of 0.87 (3rd Rank) on the code-mixed Tamil Twitter dataset.

Cite

@article{arxiv.2107.14336,
  title  = {IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text},
  author = {Arup Baruah and Kaushik Amar Das and Ferdous Ahmed Barbhuiya and Kuntal Dey},
  journal= {arXiv preprint arXiv:2107.14336},
  year   = {2021}
}
R2 v1 2026-06-24T04:40:13.553Z