Comparing Supervised & Unsupervised ML for Fake News Detection - Softcover

Kaur, Sufanpreet; Ranjan, Sandeep

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

Synopsis

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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Publisher
LAP Lambert Academic Publishing
Publication date
2024
Language
English
ISBN 10 
6208116228
ISBN 13 
9786208116224
Binding
Paperback
Number of pages
64