Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
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Updated
Jun 21, 2018 - Python
Official implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
This repository contains the dataset for news classification.
Research Paper accepted at ICMLDS-2019.
Fake News Detection
Fake news detection using neural networks.
Detects fake news... or, maybe generates fake news... not so sure.
This is my Machine Learning model created with PassiveAggressiveClassifier to detect a news as Real or Fake depending on it's contents.
This repository contains supervised fake news detection on LIAR dataset. Check out the analysis details for more details.
Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
Fake News Detection using Machine Learning Algorithm i.e naive Bayes. Model-2 Contains the same thing as LSTM.
A Fake News Detector based on google searches and a magic algorithm to calculate the score for authenticity of a given news.
Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task
Contains work done in Fake News Capstone Project
Python Projects of Data Science using Data Analytics and Machine Learning
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
Fake reviews detection using SGD Classifier , with an flexible user interface
It is essential to curb the spread of misinformation on WhatsApp. We have proposed an unsupervised and a unique way to classify messages using ML and NLP.
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