Document Type
Project
Advisors
Dr. Yonglei Tao, taoy@gvsu.edu
Embargo Period
5-22-2020
Keywords
Fake News, Real News, Machine Learning, Classifier, Naïve Bayes, Python
Abstract
Fake News and Hoaxes started since the internet era. The fake news trend started mainly to deceive readers, increase readership and is often used as a means of psychological warfare. Advances in technology and the spread of news through different types of media, without actually verifying the facts, have increased the spread of fake news today. The main purpose of this project is to come up with a classifier which can differentiate fake news from the real news.
ScholarWorks Citation
Sukumar, Deepthi, "Real vs Fake New Classifier" (2020). Technical Library. 347.
https://scholarworks.gvsu.edu/cistechlib/347
Sukumar.Deepthi.pdf (730 kB)
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