IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 29 Jul 2021.
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13 of 28 references.
References · 13
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- 2016Ex Machina: Personal Attacks Seen at Scalecited by 210
- 2017Deep Learning for Hate Speech Detection in Tweetscited by 180
- 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
- 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
- 2017One-step and Two-step Classification for Abusive Language Detection on Twittercited by 46
- 2017Detecting Hate Speech in Social Mediacited by 42
- 2018Challenges in Discriminating Profanity from Hate Speechcited by 23
- 2017Deep Learning for User Comment Moderationcited by 18
- 2017Detecting the Hate Code on Social Mediacited by 16
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Citing papers per year: 2021: 1; 2022: 1.
2 papers.