N. Eze, Ifeoma Onodugo, Stella Osondu, Akuchinyere Chilaka, F. Nwosu, Ekwutosi Ozioma Chukwu, Emmanuel Chekwube Eze
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引用次数: 0
Abstract
The study analyzes the applicability and political use of Twitter using sentiments and content (textual) analysis with the purpose of examining the pattern of online communications among Nigerian voters during the run up to the 2023 Nigerian General Elections (NGE23) to make prediction for winners. Naive Bayes, Support Vector Machine, and Random Forest were utilized to determine sentiment analysis for English tweets, while ICT specialists were employed to determine content analysis for the three key Nigerian languages – Igbo, Hausa
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