This repo contains the code and data to implement a basic, fake news classification system.

It uses a machine learning model that uses a combination of n-grams, TF-IDF , Non-negative Matrix Factorization and Multi Level Perceptron. The model can predict of a given news headline is fake, true or ambiguous.

More details can be found in https://github.com/JoseJoy249/Fake_news_classification/blob/master/paper.pdf