We present the results of the Dravidian-CodeMix shared task held at FIRE 2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text. We describe the task, its organization, and the submitted systems. This shared task is the continuation of last year's Dravidian-CodeMix shared task held at FIRE 2020. This year's tasks included code-mixing at the intra-token and inter-token levels. Additionally, apart from Tamil and Malayalam, Kannada was also introduced. We received 22 systems for Tamil-English, 15 systems for Malayalam-English, and 15 for Kannada-English. The top system for Tamil-English, Malayalam-English and Kannada-English scored weighted average F1-score of 0.711, 0.804, and 0.630, respectively. In summary, the quality and quantity of the submission show that there is great interest in Dravidian languages in code-mixed setting and state of the art in this domain still needs more improvement.
@article{arxiv.2111.09811,
title = {Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text},
author = {Bharathi Raja Chakravarthi and Ruba Priyadharshini and Sajeetha Thavareesan and Dhivya Chinnappa and Durairaj Thenmozhi and Elizabeth Sherly and John P. McCrae and Adeep Hande and Rahul Ponnusamy and Shubhanker Banerjee and Charangan Vasantharajan},
journal= {arXiv preprint arXiv:2111.09811},
year = {2021}
}