News Classification using Natural Language Processing with TF-IDF and Multinomial Naïve Bayes

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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Bibliographic Details
Main Authors: Nadira Alifia Ionendri, Feri Candra, Afdi Rizal
Format: Article
Language:Indonesian
Published: Indonesian Society of Applied Science (ISAS) 2025-06-01
Series:Journal of Applied Computer Science and Technology
Subjects:
news
classification
NLP
Online Access:https://journal.isas.or.id/index.php/JACOST/article/view/1099
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