The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection

The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection

The pervasive issue of fake news spreading rapidly on online platforms. causing a concerning dissemination of misinformation. The influence of fake news has become a pressing social problem, shaping public opinion in important events such as elections. This research focuses on detecting and classify...

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Bibliographic Details
Main Authors: Dhani Ariatmanto, Anggi Muhammad Rifai
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-12-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
fake news
random forest
text classification
machine learning
feature extraction
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6017
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