Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
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Abstract (arXiv)
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.
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References · 7
- 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
- 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
- 2021Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Commentscited by 20
- 2021Hope Speech detection in under-resourced Kannada languagecited by 7
- 2021Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labelingcited by 6
- 2021KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media textcited by 3
- 2021IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languagescited by 1
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