Weak Labeling of Fake News Articles with Snorkel and Snuba
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Updated
Jun 8, 2021 - Python
Weak Labeling of Fake News Articles with Snorkel and Snuba
Fake News Classification and Detection
Fake News Detector
AntiFa (Anti FakeNews) é um projeto dedicado a analisar e quantificar a porcentagem de notícias falsas (fake news) disseminadas por políticos e personalidades brasileiras em suas redes sociais.
Fake news detection using ml models such as roBERTa
The uvicorn API and the Twitter Bot
This project aims to develop a fake tweet detection system using the Multinomial Naive Bayes algorithm, which is a probabilistic classification model based on Bayes' theorem.
fake news detector with python
In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
Fake News Detector using logistic regression
A tool to protect readers from fake media using text analysis and NLP techniques.
Detecção de fake news utilizando a rede neural artificial multilayer perceptron (MLP)
It is Flask app that check whether given news headline/article is fake or legit
Currently making the dockerfile, will update soon
Automatic Fact Verification
This repo contains the submission for creating a Binary classifier for fake news detection to the IBM Machine Learning Hackathon hosted in Jan 2018 at IISc. Banglore
Fake news (text) classification system
My very first NLP project where I utilized all the concepts I learned of the topic.
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