Cross-Lingual Sentiment Analysis with Natural Language Processing: Insights from Selected Nigeria Languages (Yoruba, Hausa, Igbo, and Nigerian Pidgin)

Natural Language Processing (NLP) plays a pivotal role in sentiment analysis, particularly in multilingual societies such as Nigeria, where languages like Igbo, Hausa, Yoruba, and Pidgin English coexist yet remain largely underrepresented in existing NLP tools and resources. This study aims to develop a sentiment analysis framework specifically tailored to Nigeria’s four major languages, addressing key challenges including code-mixing, tonal variations, and the scarcity of annotated datasets. Th