itskrsna / Predicting-Fake-News-Articles

Predicting fake news articles from their text using machine learning and deep learning models

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Predicting Fake News Articles - Capstone 2


Hi!

My name is Momin Khan and this is my repo for my second capstone project: Predicting Fake News Articles on a Social Media Platform.

I completed a number of projects as part of the Springboard Data Science Track.

For this project I performed natural language processing and implemented a predictive model for the social media company utilizing a Logistic Regression model to classify fake news and reduce misinformation on the platform. I attained 95% AUC-ROC & demonstrated value of text analysis and implementing machine learning as well as Long Short Term Memory Neural Networks in an effort to flag and reduce fake news articles on the platform.

To find out more about this project, check out the attached presentation below!

Jupyter notebook for project: View here

Final write up: View here

Slides presentation: View here

Blog post: View here

The detailed reports depicting the process: Write Ups

For more information about my Springboard work: All of the documentation, code, and notes can be found here.

For questions or comments, please feel free to reach out on LinkedIn! or Twitter

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Predicting fake news articles from their text using machine learning and deep learning models


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