MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis

Priya Rani; Gaurav Negi; Theodorus Fransen; John P. McCrae

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arXiv · 2403.04639

MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis

Priya Rani·Gaurav Negi·Theodorus Fransen·John P. McCrae

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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.

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BibTeX RIS

Priya Rani, Gaurav Negi, Theodorus Fransen, John P. McCrae. 2024-03-07. MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis. https://arxiv.org/abs/2403.04639

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