News Classification using Natural Language Processing with TF-IDF and Multinomial Naïve Bayes
Online news contains valuable insights into public phenomena that can support statistical analysis by institutions like BPS Riau. However, current methods of classifying news are manual, time-consuming, and prone to human error. This study proposes an automated news classification system using Natu...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Indonésio |
| Vydáno: |
Indonesian Society of Applied Science (ISAS)
2025-06-01
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| Edice: | Journal of Applied Computer Science and Technology |
| Témata: | |
| On-line přístup: | https://journal.isas.or.id/index.php/JACOST/article/view/1099 |
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