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Fake News Detection with ML Models by Anonymous qNZVXg is a document available to read on EtoBox.
What is Fake News Detection with ML Models about?
This document summarizes a student project on fake news detection using machine learning models. It discusses extracting features from news articles, various models tried including naive bayes, logistic regression, linear SVC and ensembles. The best performing model was a recurrent neural network (LSTM) achieving over 96% accuracy on test data using the body text of articles. Future work proposed training on more global datasets and exploring other neural network architectures.
- Author
- Anonymous qNZVXg
- Language
- EN