fake news classfication using natural language processing .
the train.csv file assumes there are two columns one named text containing the news body and second column containing the labels
just install the dependencies and run .
for the initial run you will need to train and fit the model
after that two new files containing count vectorizer object and classfier object will be created .
the two new created files can then be used for prediction on new set of news .