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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/21BCS3782-vanshika%2FEnhancing-Code-Mixed-Sentiment-Analysis-A-Transformer-based-Approach
PURL: pkg:github/21BCS3782-vanshika/Enhancing-Code-Mixed-Sentiment-Analysis-A-Transformer-based-Approach

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Forks: 0
Open issues: 0

License: None
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Size: 6.84 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: accuracy, f-score, nlp-machine-learning, prescion-metrics, recall

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