hritik5102/Fake-news-classification-model
✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.
This project helps anyone concerned about the spread of deceptive content online to identify fake news. It takes news articles or texts as input and classifies them into categories like 'Fake News', 'Satire', 'Conspiracy Theories', or 'Reliable'. This tool is useful for journalists, researchers, content moderators, or the general public who want to verify the authenticity of information.
No commits in the last 6 months.
Use this if you need to quickly assess the credibility of news content and understand its potential intent, such as identifying outright fabrications or biased reporting.
Not ideal if you need to trace the origin of misinformation campaigns or require a tool for real-time, high-volume social media monitoring at an enterprise scale.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 16, 2023
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