Fake-News-Analysis-using-Pythons
Fake News is One of the biggest issue that we face and is quite challenging to counter act. This program tends to solve this issue in a quicker and precise manner. I've used a News dataset availble, The Dataset having dimensions of (6335, 4)(R*C) It is a news data set having Texts that we often recieve and see over Whatsapp, Facebook, SMS etc. I've implemented a TfidVectorizer here and then initialized a Passive Aggressive Classifier to finally fit my model. The output was an Accuracy of 92.9% which makes this quite trustable model and eligible to be considered for practical implementaitons.
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