Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results

Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results

Sentiment analysis is a text processing technique aimed at identifying opinions and emotions within a sentence. Machine learning is commonly applied in this area, with algorithms such as Naïve Bayes, Support Vector Machine (SVM), and Random Forest being frequently used. However, achieving optimal ac...

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Bibliographic Details
Main Authors: Andy Victor Pakpahan, Fahmi Reza Ferdiansyah, Robby Gustian, Muhammad Nur Faiz, Sukma Aji
Format: Article
Language:English
Published: Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap 2025-06-01
Series:Journal of Innovation Information Technology and Application
Subjects:
ensemble learning
stacking
sentiment analysis
data mining
machine learning
Online Access:https://ejournal.pnc.ac.id/index.php/jinita/article/view/2724
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