Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
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Updated
May 22, 2023 - Python
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
Fake News Detection by Learning Convolution Filters through Contextualized Attention
Fake news generator and detector using keras
Full stack Fake News Detection using machine learning code and documents
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task
Used BERT embeddings on LIAR dataset for multi-class classification to achieve state-of-the-art results.
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Advanced Fake News Detection - made for Kavach 2023
Fake News detection based on the FA-KES dataset
Final Project for CAPP 30255 Advanced Machine Learning for Public Policy
A Fake News Detector based on google searches and a magic algorithm to calculate the score for authenticity of a given news.
Hierarchical Attention Neural Network For Fake News Detection
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
A BERT-based fake news classifier that uses article bodies to make predictions.
Fake News Classification and Detection
Amdocs Fake News Detector
This is a machine learning project that predict fake news.
This repo contains a Python script, emotion_classification.py, which performs emotion classification on a text dataset using a finetuned transformer model in the HuggingFace pipeline.
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