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RideKE: Leveraging Low-resource Twitter User-generated Content for Sentiment and Emotion Detection on Code-switched RHS Dataset.
Naome Etori
|
Maria Gini
|
Paper Details:
Month: August
Year: 2024
Location: Bangkok, Thailand
Venue:
WASSA |
WS |
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https://github.com/NEtori21/Ride_hailing_
https://github.com/afrisenti-semeval/
https://pypi.org/project/snscrape/l
https://pypi.org/project/langdetect/l
https://github.com/zyocum/cohens_kappa
https://www.sil.org/about/endangered-
https://commoncrawl.org/
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