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.
Twitter Fake News Detection, Traffic Sign Classification, Clustering Synthetic Data
The First Ever Albanian Fake News Corpus
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
Fake News Detection using Machine Learning Algorithms and deploying using Flask
A web application used to determine fake news articles utilizing Machine Learning and Natural Language Processing.
fake news classification using MLP, LSTM and transformer
A fake/real news detection system using Sklearn, Django, JavaScript, HTML & CSS
detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB
This project involves an extensive exploration of fake news detection using machine learning techniques. It encompasses data preprocessing, feature extraction, model training, and evaluation to classify news articles as real or fake. Through thorough analysis and model validation, the project aims to provide valuable insights into the effectiveness
Fake News Detection End to End project with deployment 🔥. distinguishes between authentic and fake news, contributing to media credibility. 🚀
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
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