GitHub / 21BCS3782-vanshika / Enhancing-Code-Mixed-Sentiment-Analysis-A-Transformer-based-Approach
Text-based sentiment analysis plays a very important role in understanding customer opinions and preferences. But despite extensive research in sentiment and emotion analysis in text, a notable gap exists in understanding code-mixed texts. To address this, we propose an end-to-end transformer based model.
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PURL: pkg:github/21BCS3782-vanshika/Enhancing-Code-Mixed-Sentiment-Analysis-A-Transformer-based-Approach
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Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
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Topics: accuracy, f-score, nlp-machine-learning, prescion-metrics, recall