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fake_news_classfication's Introduction

Fake_News_Classfication

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 .

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