In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
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Updated
Jul 5, 2024 - Python
In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
Projects completed during internship with code.
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…
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.
Official Implementation for KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media (WWW'22 SocialNLP Workshop)
English and Turkish Misinformation Detection Dataset from "MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection"
Fake reviews detection using SGD Classifier , with an flexible user interface
This is a machine learning project that predict fake news.
A BERT-based fake news classifier that uses article bodies to make predictions.
Fake news detection in English and Vietnamese 📰❌
A deployment using Seldon's open source MLServer
Supplementary material to the paper 'University of Regensburg at CheckThat! 2021:Exploring Text Summarization for Fake NewsDetection' which is part of 2021's ChecktThatLab! Task 3a
tugas akhir tetris dqlab capstone project
Fake News Classification and Detection
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.
A fact checking DApp which verifies the authenticity of news.
Submission for SemEval 2024 - Task 8 (Subtask A)
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