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Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Text

arXiv 2111.09836 ↗First posted 18 Nov 2021cs.CLcited by 0

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Abstract (arXiv)

To tackle the conundrum of detecting offensive comments/posts which are considerably informal, unstructured, miswritten and code-mixed, we introduce two inventive methods in this research paper. Offensive comments/posts on the social media platforms, can affect an individual, a group or underage alike. In order to classify comments/posts in two popular Dravidian languages, Tamil and Malayalam, as a part of the HASOC - DravidianCodeMix FIRE 2021 shared task, we employ two Transformer-based prototypes which successfully stood in the top 8 for all the tasks. The codes for our approach can be viewed and utilized.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 29 references that are in the map. First posted on arXiv 18 Nov 2021.

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References · 9

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  5. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 724
  6. 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
  7. 2021Hope Speech detection in under-resourced Kannada languagecited by 7
  8. 2021IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformerscited by 6
  9. 2021Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021cited by 4

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