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MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis (2403.04639v2)
Published 7 Mar 2024 in cs.CL
Abstract: The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language. This dataset is the first Magahi-Hindi-English code-mixed dataset for sentiment analysis tasks. Further, we also provide a linguistics analysis of the dataset to understand the structure of code-mixing and a statistical study to understand the language preferences of speakers with different polarities. With these analyses, we also train baseline models to evaluate the dataset's quality.
- Priya Rani (8 papers)
- Gaurav Negi (5 papers)
- Theodorus Fransen (4 papers)
- John P. McCrae (18 papers)