In this project, we have built a classifier model using NLP that can identify news as real or fake. For this purpose, we have used data from Kaggle.
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Updated
Jul 30, 2021 - Jupyter Notebook
In this project, we have built a classifier model using NLP that can identify news as real or fake. For this purpose, we have used data from Kaggle.
Projects completed during internship with code.
Detecting a potential fake news using TfidVectorizer and PassiveAggressiveClassifier
A web application to detect fake news headlines based on CNN model with TensorFlow and Flask.
A Fake News Detection System built with Neural Networks.
Exploring the Dual Role of AI: RNNs and BERT for Fake News Detection and LLMs for Fake News Generation
As the Covid-19 virus quickly spreads across the globe, the world is not just dealing with a “Pandemic” but also an “Infodemic”. Considering that the world is on the brink of disaster, it is paramount to validate the authenticity of dubious information. We present in this project a web application whose detection process is based on the assembla…
Fake News Detection with a Bi-directional LSTM in Keras
Detection of Fake Product Reviews Using NLP Techniques
API REST for detecting if a text correspond to a fake news or to a legitimate one. It's served using Flask and uses a fine-tuned BERT model.
A Rest API that can receive text, preprocess it and use Logistic Regression to predict if it is real or fake
Thesis Project
fake news detection using passive Aggresive classifier
In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
we will focus on text-based news and attempt to develop a model that will assist us in determining if a certain piece of news is fake or not.
Fake news Detection using Machine Learning
Official Implementation for KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media (WWW'22 SocialNLP Workshop)
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