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Comparing Supervised & Unsupervised ML for Fake News Detection - Tapa blanda

Ranjan, Sandeep; Kaur, Sufanpreet

 
9786208116224: Comparing Supervised & Unsupervised ML for Fake News Detection
Tapa blanda
ISBN 10: 6208116228 ISBN 13: 9786208116224
Editorial: LAP Lambert Academic Publishing, 2024

Sinopsis

This investigation aims to develop a robust framework for detecting false information by comparing supervised and unsupervised machine learning algorithms. Unsupervised algorithms identify patterns without pre-labeled data, while supervised algorithms use labeled datasets to guide detection. The evaluation focuses on accuracy, precision, recall, and F1 score to assess each algorithm’s effectiveness. The study details dataset composition, preprocessing techniques, and the strengths and limitations of each method. It utilizes Kaggle’s dataset, featuring various news stories classified through meticulous verification, including real, fraudulent, and mixed authenticity levels. This research emphasizes the importance of precise labeling and preprocessing, aiming to enhance the development of effective fake news detection systems using advanced machine learning and natural language processing techniques.

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Editorial
LAP Lambert Academic Publishing
Año de publicación
2024
Idioma
Inglés
ISBN 10 
6208116228
ISBN 13 
9786208116224
Encuadernación
Tapa blanda
Número de páginas
64
Contacto del fabricante
no disponible
Persona responsable
no disponible