Transformers@DravidianLangTech-EACL2024: Sentiment Analysis of Code-Mixed Tamil Using RoBERTa

Kriti Singhal, Jatin Bedi


Abstract
In recent years, there has been a persistent focus on developing systems that can automatically identify the hate speech content circulating on diverse social media platforms. This paper describes the team Transformers’ submission to the Caste/Immigration Hate Speech Detection in Tamil shared task by LT-EDI 2024 workshop at EACL 2024. We used an ensemble approach in the shared task, combining various transformer-based pre-trained models using majority voting. The best macro average F1-score achieved was 0.82. We secured the 1st rank in the Caste/Immigration Hate Speech in Tamil shared task.
Anthology ID:
2024.dravidianlangtech-1.25
Volume:
Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
Month:
March
Year:
2024
Address:
St. Julian's, Malta
Editors:
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar Madasamy, Sajeetha Thavareesan, Elizabeth Sherly, Rajeswari Nadarajan, Manikandan Ravikiran
Venues:
DravidianLangTech | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
151–155
Language:
URL:
https://aclanthology.org/2024.dravidianlangtech-1.25
DOI:
Bibkey:
Cite (ACL):
Kriti Singhal and Jatin Bedi. 2024. Transformers@DravidianLangTech-EACL2024: Sentiment Analysis of Code-Mixed Tamil Using RoBERTa. In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 151–155, St. Julian's, Malta. Association for Computational Linguistics.
Cite (Informal):
Transformers@DravidianLangTech-EACL2024: Sentiment Analysis of Code-Mixed Tamil Using RoBERTa (Singhal & Bedi, DravidianLangTech-WS 2024)
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PDF:
https://aclanthology.org/2024.dravidianlangtech-1.25.pdf
Video:
 https://aclanthology.org/2024.dravidianlangtech-1.25.mp4