Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages

Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages

Sentiment analysis is a crucial tool for measuring public opinion and understanding human communication across digital social media platforms. However, due to linguistic complexities and limited data or computational resources, it is under-represented in many African languages. While state-of-the-ar...

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Bibliographic Details
Main Authors: Koena Ronny Mabokela, Mpho Primus, Turgay Celik
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Big Data and Cognitive Computing
Subjects:
explainable AI
sentiment analysis
African languages
Afrocentric models
pre-trained models
transformer models
Online Access:https://www.mdpi.com/2504-2289/8/11/160
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