RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset

Fuente: arXiv
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Bibliographic Details
Main Authors: Etori, Naome A., Gini, Maria L.
Format: Preprint
Published: 2025
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