2023年尼日利亚大选推特用户政治社会化的感知挖掘与情绪分析

Q4 Engineering

Indian Journal of Computer Science and Engineering Pub Date : 2023-06-20 DOI:10.21817/indjcse/2023/v14i3/231403055

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

摘要

该研究使用情感和内容（文本）分析来分析推特的适用性和政治用途，目的是研究2023年尼日利亚大选（NGE23）前尼日利亚选民的在线交流模式，以预测获胜者。Naive Bayes、支持向量机和随机森林被用于确定英语推文的情感分析，而ICT专家被用于确定尼日利亚三种关键语言——伊博语、豪萨语的内容分析

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PERCEPTION MINING AND SENTIMENT ANALYSIS OF POLITICAL SOCIALIZATION AMONG TWITTER USERS IN THE 2023 NIGERIA GENERAL ELECTION

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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来源期刊

Indian Journal of Computer Science and Engineering Engineering-Engineering (miscellaneous)

自引率

0.00%

发文量

146