Ibrahim Mujeeb Olayemi

Bridging the NLP Gap: A Transformer-Based Sentiment Analysis Framework for Code-Mixed Nigerian Pidgin

This study addresses the limitations of existing Natural Language Processing (NLP) systems in analyzing Nigerian Pidgin, a widely spoken but low-resource language. Traditional sentiment analysis models, primarily designed for English, perform poorly due to challenges such as non-standardized spelling, semantic drift, a...