Sentiment analysis using unsupervised learning for local government elections in South Africa

Sentiment analysis using unsupervised learning for local government elections in South Africa

This study examines public sentiment during the 2021 South African local government election campaign by analysing Twitter posts. The research uses advanced techniques such as fine-tuned RoBERTa model, VADER, and TextBlob to assess the sentiments of tweets about four political parties, addressing t...

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Bibliographic Details
Main Authors: Penelope Matloga, Vukosi Marivate, Kayode Olaleye
Format: Article
Language:English
Published: Danube-University Krems 2025-02-01
Series:JeDEM - eJournal of eDemocracy & Open Government
Subjects:
GPT
Local elections
Sentiment analysis
Suspicious patterns
User classification
Unsupervised learning
Online Access:https://jedem.org/index.php/jedem/article/view/945

Internet

https://jedem.org/index.php/jedem/article/view/945

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