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kush1912 / FAKE-NEWS-DETECTION

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Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.

random-forest guardian svm machine-learning-algorithms fake ipynb logistic-regression word2vec-model webscraping classification-algorithm nyt xgboost-algorithm scrap-data
  • Updated Jan 9, 2019
  • Jupyter Notebook

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