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Detection of Fake News Using Machine Learning
 Koreň, Matej ; Zbořil, František (referee) ; Hříbek, David (advisor)
This thesis focuses on the use of machine learning in fake news detection. For this purpose, four models have been selected – Bayesian, Decision Tree, Support Vector Machine and a Neural Network. In five experiments on various datasets, these models were trained, tested, evaluated and compared with state-of-the-art methods. Final implementation is in the form of a Python package, which allows it’s users to replicate this procedure with their own data. Beyond the assignment, Slovak dataset Dezinfo SK was created.
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See also: similar author names
2 Koreň, Marián
1 Koreň, Michal
4 Koreň, Miroslav
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