Lavanya Sambath Kumar


2024

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Overview of Second Shared Task on Sentiment Analysis in Code-mixed Tamil and Tulu
Lavanya Sambath Kumar | Asha Hegde | Bharathi Raja Chakravarthi | Hosahalli Shashirekha | Rajeswari Natarajan | Sajeetha Thavareesan | Ratnasingam Sakuntharaj | Thenmozhi Durairaj | Prasanna Kumar Kumaresan | Charmathi Rajkumar
Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages

Sentiment Analysis (SA) in Dravidian codemixed text is a hot research area right now. In this regard, the “Second Shared Task on SA in Code-mixed Tamil and Tulu” at Dravidian- LangTech (EACL-2024) is organized. Two tasks namely SA in Tamil-English and Tulu- English code-mixed data, make up this shared assignment. In total, 64 teams registered for the shared task, out of which 19 and 17 systems were received for Tamil and Tulu, respectively. The performance of the systems submitted by the participants was evaluated based on the macro F1-score. The best method obtained macro F1-scores of 0.260 and 0.584 for code-mixed Tamil and Tulu texts, respectively.