Fake-News-Detection

Fake News Detection in Binary and Six-way Classification I'm one of the Facebook Secure and Private AI Scholar. I had done a project on Fake News Detection using Natural Language Processing and Machine Learning. I had done Binary Classification and as well as six-way classification using different Machine Learning Classifiers they are

1.Multinomial Naive Bayes Classifier

2.Passive Aggressive Classifier

3.Support Vector Classifier

4.Stochastic Gradient Descent Classifier

By training and testing repeatedly I had got Multinomial Naive Bayes Classifier is best for Binary Classification. And Stochastic Gradient Descent Classifier is best for six-way classification. My project was helpful in finding Fake News during elections or campaigns in Social Media or News Channels.

I had got this project by reading these research papers

“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection https://aclweb.org/anthology/W18-5513

Where is your Evidence: Improving Fact-checking by Justification Modeling https://aclweb.org/anthology/W18-5513