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The purpose of this project is to use the Natural Language Processing techniques to find predict any given news snippet or headline as True or Fake. Multiple sources of data are considered for this project that has labeled fake/real news texts such as Buzzfeed, Politifact, Kaggle, BSDetector. The hypothesis for the project is - To what extent credibility and robustness of a model in detecting fake/real news can be increased by using multiple sources of data?
Sample feature weights
