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

10 February 2025

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

5 / 5 papers shown

Title
LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama Naome A. Etori Kevin Lu Randu Karisa Arturs Kanepajs LRM ELM 160 0 0 14 Mar 2025
State of NLP in Kenya: A Survey Cynthia Jayne Amol Everlyn Asiko Chimoto Rose Delilah Gesicho Antony M. Gitau Naome A. Etori ... Catherine Gitau Antony Ndolo Lilian D. A. Wanzare Albert Njoroge Kahira Ronald Tombe 29 1 0 13 Oct 2024
Sentiment Analysis Across Multiple African Languages: A Current Benchmark Saurav K. Aryal H. Prioleau Surakshya Aryal 47 4 0 21 Oct 2023
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech Takaaki Saeki Heiga Zen Zhehuai Chen Nobuyuki Morioka Gary Wang Yu Zhang Ankur Bapna Andrew Rosenberg Bhuvana Ramabhadran 63 19 0 27 Oct 2022
Semi-supervised and Transfer learning approaches for low resource sentiment classification Rahul Gupta Saurabh Sahu C. Espy-Wilson Shrikanth Narayanan 41 29 0 07 Jun 2018