RideKE: Leveraging Low-resource, User-generated Twitter Content for Sentiment and Emotion Detection in Kenyaǹ Code-switched Dataset Naome A Etori author Maria L Gini author 2024-08 text Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis Orphée De Clercq editor Valentin Barriere editor Jeremy Barnes editor Roman Klinger editor João Sedoc editor Shabnam Tafreshi editor Association for Computational Linguistics Bangkok, Thailand conference publication etori-gini-2024-rideke 10.18653/v1/2024.wassa-1.19 https://aclanthology.org/2024.wassa-1.19/ 2024-08 234 249