A Fake News Prediction System using Machine Learning with Python.
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Updated
Aug 15, 2023 - Jupyter Notebook
A Fake News Prediction System using Machine Learning with Python.
A machine learning project to detect the fake news.
Test task for a summer internship at "Kontur"
MAG News Verification is a web browser that aims to fight the fake news spread.
Fake News Detection using Machine Learning : Our project focuses on building a Fake News Detection system using machine learning. In today's digital age, the spread of fake news undermines media credibility and public trust. Our system aims to distinguish between reliable news sources and misinformation, empowering users to make informed decisions
A fake news classifier using TF-IDF and Bag of Words to obtain classification of Fake news using Multinomial Algorithm and Passive-Aggressive Classifier Algorithm
Practice NLP and relevant libraries, this time in Python. Regular Expressions, Tokenization, Topic Identification, NER, Classifiers
This project builds and optimizes a machine learning model that predicts the truth value for political statements to gain a better understanding of and detect fake news on social media.
This repo contains tasks i done as part of CodeClause data science internship.
News Authenticity Checker
Embark on a journey to develop a Fake News Classifier using NLP techniques. This README outlines the key steps involved in building and implementing the classifier.
An AI-powered app designed to help you distinguish truth from deception. With cutting-edge generative AI, easily verify news and combat propaganda to stay informed and aware.
Weak Labeling of Fake News Articles with Snorkel and Snuba
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.
FakeNewsDetection with Python
Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).
Detect fake news and misinformation in social media.
Fake News Detection model trained using BERT (Bidirectional Encoder Representations from Transformers) and LSTM (Long Short-Term Memory). The saved model can be used to predict user input news.
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