Fake News Detector

This project was a part of a machine learning course. The idea behind the project was to produce a way of processing articles and produce a prediction on the truth value of the articles. This fairly common problem of “fake news” has seen probably thousands of bootcamp projects and attempts to produce this type of model.

Reproducing someone else’s result was not in the interest of mine and thus I include an aspect that is very important to me personally:

Creating a model using less computational resources.

Using the book Speech and Language processing by Daniel Jurafsky and James H. Martin as a reference, I beleive to have atleast made a very good attempt at doing so.

Read more about the project in the -> GitHub repository <-
The article is available as a pdf under docs.pdf in the repository.