Fake_news_Detection and Fake_News_Classifier_NLP

Maintenance 0/25
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Maturity 8/25
Community 19/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 15/25
Stars: 58
Forks: 22
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 8
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Fake_news_Detection

mohammed97ashraf/Fake_news_Detection

This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.

This project helps anyone who needs to quickly verify the authenticity of news articles. You input the text content of a news article, and it tells you whether the article is likely true or fake. This is ideal for journalists, researchers, or general readers who encounter a lot of news online and want a quick assessment of its credibility.

news-verification information-literacy content-assessment media-analysis

About Fake_News_Classifier_NLP

mandar196/Fake_News_Classifier_NLP

An End to End Machine Learning application for detecting fake news, built model using Passive aggressive classfier and integrated with Flask for web application and deployed in Heroku platform.

This tool helps journalists, content analysts, or media consumers quickly determine the authenticity of news articles. You input the text of a news story, and it tells you whether the story is likely to be 'real' or 'fake'. This is useful for anyone needing to verify information credibility.

news-verification content-analysis media-literacy journalism-tools information-credibility

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