This Project comes up with the applications of NLP (Natural Language Processing) techniques for detecting the 'fake
news', that is, misleading news stories that comes from the non-reputable sources. Only by building a model based on a count
vectorizer (using word tallies) or a (Term Frequency Inverse Document Frequency) tfidf matrix, (word tallies relative to how
often they’re used in other articles in your dataset) can only get you so far.
