FAKE NEWS DETECTOR

Abstract

This paper shows a simple approach for fake news detection using the Na�ve Bayes Classifier. Here, the data is divided into test dataset and train dataset and the train dataset is divided into groups of similar information. Test data is later matched with these groups and accuracy is found using the Na�ve Bayes Classifier. It helps is knowing whether a given news if fake or if it is real.

Identifiers

Resource ID

urn:uuid:4649554f-81a2-47d4-9654-aa2bd28bd4b2