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September 10, 2025JURIKOM (Jurnal Riset Komputer)Open Access

Sentiment Analysis of Youtube Comments on Indonesian Presidential Candidates in 2024 using Naïve Bayes Classifier

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Authors

NMNurbaiti Mahfudza MIMuhammad Ihksan

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Implication

Sentiment analysis shows public opinion regarding presidential candidates in Indonesia, indicating the Naïve Bayes method's effectiveness in text classification.

Key Points

Sentiment analysis reveals classifying YouTube comments on presidential candidates in Indonesia has potential public opinion insights.
The Naïve Bayes model demonstrated a 61% accuracy rate in classifying sentiments into positive, negative, and neutral categories.
Data preprocessing techniques like tokenization and stemming were applied to enhance the text classification process.
Findings suggest that the Naïve Bayes classifier can effectively analyze sentiment, providing valuable insights for political stakeholders.

Cite This Study

Mahfudza et al. (2025) studied this question.

synapsesocial.com/papers/68c1ae6654b1d3bfb60e6315 https://doi.org/10.30865/jurikom.v12i2.8538

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Implication

Sentiment analysis shows public opinion regarding presidential candidates in Indonesia, indicating the Naïve Bayes method's effectiveness in text classification.

Sentiment Analysis of Youtube Comments on Indonesian Presidential Candidates in 2024 using Naïve Bayes Classifier

Discussion

Member takes

Implication

Key Points

Cite This Study

Sentiment Analysis of Youtube Comments on Indonesian Presidential Candidates in 2024 using Naïve Bayes Classifier

Discussion

Member takes

Implication

Key Points

Cite This Study

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