MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
<|reference_start|>MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis: 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.<|reference_end|>
@article{rani2024macms:,
    title={MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis},
    author={Priya Rani, Gaurav Negi, Theodorus Fransen, John P. McCrae},
    journal={arXiv preprint arXiv:2403.04639},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.04639},
    primaryClass={cs.CL}
}