Comparison of Naïve Bayes, Random Forest, and SVM Algorithm Performance in Analyzing Sentiment Regarding the Aceh Floods on Platform X
Social media has become a means for the public to express their opinions on various events, including the floods in Aceh. This study aims to analyze public sentiment and compare the performance of the Naïve Bayes, Random Forest, and Support Vector Machine (SVM) algorithms in classifying sentiment on...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Politeknik Negeri Batam
2026-04-01
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| Серія: | Journal of Applied Informatics and Computing |
| Предмети: | |
| Онлайн доступ: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/12250 |
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