MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 47 references that are in the map. First posted on arXiv 7 Mar 2024.
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References · 12
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
- 2020SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweetscited by 62
- 2023A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologiescited by 59
- 2021Are Multilingual Models Effective in Code-Switching?cited by 56
- 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
- 2020XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detectioncited by 31
- 2021L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Datasetcited by 28
- 2015Overcoming Language Variation in Sentiment Analysis with Social Attentioncited by 23
- 2020ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Textcited by 2
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