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Python 99.08% CSS 0.02% HTML 0.01% C++ 0.26% C 0.48% Fortran 0.03% Smarty 0.01% Makefile 0.01% MATLAB 0.01% TeX 0.08% JavaScript 0.01% PowerShell 0.01% Batchfile 0.01% Jupyter Notebook 0.02%

fakenewsdetector_flaskapp's Introduction

FakeNewsDetector_FlaskApp

Repo for the flask app project

Flask app created mainly with this tutorial : https://towardsdatascience.com/develop-a-nlp-model-in-python-deploy-it-with-flask-step-by-step-744f3bdd7776 .

Classifier model is a Naive Bayes Classifier trained on real/fake news dataset : https://www.kaggle.com/anthonyc1/fake-news-classifier-final-project (news_dataset.csv file at the bottom of the page)

Différent models where tested on this dataset, take a look on the notebook if interested. NB Classifier where choose because of its test accuracy but it can all be improved so feel free to experiment.

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