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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ejournal.pnc.ac.id/index.php/jinita/article/view/2724

Similar Items