Fake-News-Detector and Fake-News-Detection-using-MachineLearning
These two tools are competitors, as both are independent projects providing a complete NLP and machine learning pipeline for fake news detection, making it unlikely they would be used in conjunction.
About Fake-News-Detector
AmirhosseinHonardoust/Fake-News-Detector
A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.
This tool helps journalists, researchers, or anyone evaluating online content quickly determine if a news article or headline is likely fake or real. You simply input a piece of text, and it classifies it as either "REAL" or "FAKE," along with a probability score. This is designed for individuals who need a fast, preliminary credibility check on news content.
About Fake-News-Detection-using-MachineLearning
abiek12/Fake-News-Detection-using-MachineLearning
Fake News Detection using Machine Learning is a comprehensive project that utilizes machine learning and natural language processing techniques to identify and classify fake news articles. The project includes data analysis, model training, and a real-time web application for detecting fake news.
This project helps social media content moderators or platform managers identify news sources that consistently produce unreliable information. You input news articles, and the system outputs a classification indicating whether the source is likely to be a producer of fake news, enabling informed decisions about content visibility.
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