The Influence of Presidential Debate Comment Sentiment on YouTube on Candidate Electability: Naïve Bayes and Pearson Analysis

The Influence of Presidential Debate Comment Sentiment on YouTube on Candidate Electability: Naïve Bayes and Pearson Analysis

Campaigns significantly influence candidate electability. Presidential debates, a key campaign strategy, generate extensive public comments on social media, reflecting voter sentiment. This study employs VADER for automated sentiment labeling and Naïve Bayes for classification, analyzing comments fr...

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Bibliographic Details
Main Authors: Arnoldus Yitzhak Petra Manoppo, Wirawan Istiono
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2025-03-01
Series:Journal of Information Systems and Informatics
Subjects:
machine learning
naïve bayes
pearson correlation
presidential debate
sentiment analysis
Online Access:https://journal-isi.org/index.php/isi/article/view/1001
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