Fake-News-Detection

Predicts the credibility of a provided news article using dataset. The model used is a supervised learning model using Naive bayes as the algorithm. The difference between the existing model and the proposed model is the MULTINOMIAL NAIVE BAYES algorithm. The feature extraction is done using the count vectorizer and Term Frequency and Inverse Document Frequency, later on the text pre-processing is done using the Natural Language Toolkit. The division of data is done using the sub