Media Journal of General Computer Science (MJGCS)
Vol. 1 No. 2 (2024): MJGCS

Detection of Hoax News Using TF-IDF Vectorizer and Multinomial Naïve Bayes and Passive Aggressive

Rizky Adrian (Department of Informatics, Dinamika Bangsa University)
Musaddam (Department of Informatics, Dinamika Bangsa University)
Muhammad Ikhsan (Department of Informatics, Dinamika Bangsa University)
M. Riza Pahlevi. B (Department of Informatics, Dinamika Bangsa University)

Article Info

Publish Date
29 Jun 2024

Abstract

The website is a source of information, but not all information is guaranteed to be correct. Some news can beconsidered hoaxes or not based on facts. This research aims to build a hoax news detection system on English languagenews websites. The method used involves the multinomial Naive Bayes and Passive Aggressive approaches.Classification report analysis shows the superiority of the Passive Aggressive Classifier with significant improvementsin all evaluation metrics compared to Multinomial Naïve Bayes. The conclusion is based on the characteristics of thedataset, confirming the effectiveness of the Passive Aggressive Classifier in solving the task of classifying fake news inEnglish, with the highest accuracy reaching 93.74%.

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Journal Info
Media Journal of General Computer Science (MJGCS)
Website

Abbrev

mjgcs

Publisher

Media Applied Science and Engineering

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Media Journal of General Computer Science (MJGCS), e-ISSN: 3031-3651 is a peer-reviewed journal in Indonesian or English. The purpose of this publication is to disseminate high-quality articles that are devoted to discussing any and all elements of the most recent and noteworthy advancements in the ...