Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach

Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach

This study analyzes public sentiment regarding candidates in the 2024 DKI Jakarta Gubernatorial Election utilizing a Support Vector Machine (SVM) approach. Recognizing the pivotal role of social media, particularly Twitter, in shaping public opinion, the research addresses the challenges of processi...

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Bibliographic Details
Main Authors: Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-04-01
Series:Journal of Applied Informatics and Computing
Subjects:
public sentiment
support vector machine
gubernatorial election 2024
dki jakarta
twitter
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9260
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https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9260

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