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COVID19 fakenews detection using NLP

One of the shared tasks of CONSTRAINT 2021's first Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Si​tuation, was about "Fighting an Infodemic: COVID-19 Fake News". Here is my modest participation at the Codalab's competition COVID19 Fake News Detection in English

The Fighting an Infodemic: COVID-19 Fake News Dataset contains tweets along with their associated binary labels: real for real/verified COVID19 related informations and fake for hoaxes/fake news.

Open In Colab

I used Logistic regression with some fine tunning to achieved an accuracy of 94% with the following score:

precision recall f1-score support
Fake 0.939303 0.92549 0.932346 1020
Real 0.93304 0.945536 0.939246 1120
accuracy 0.935981 0.935981 0.935981 0.935981
macro avg 0.936172 0.935513 0.935796 2140
weighted avg 0.936025 0.935981 0.935957 2140

Source: COVID19 Fake News Detection in English

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