A model to classify a piece of news as REAL or FAKE

Related tags

Deep LearningFake_news_classification
Overview

Fake_news_classification

A model to classify a piece of news as REAL or FAKE. This python project of detecting fake news deals with fake and real news. Using sklearn, I build a TfidfVectorizer on the dataset. Then I Initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

Result

  • So with this model I get a Accuracy of 92.82%.
  • With confusion matrix I get 590 true positive, 586 true negative, 48 false positive and 43 false negative.
Owner
Gokul Stark
I am a BCA Data Science student from Crescent Institute Of Science And Technology, I am looking for internship opportunities. working on small projects.
Gokul Stark
GitHub Repository
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