Fake-News-Detection and Fake-News-Detection-using-MachineLearning

These are competitors—both are standalone machine learning-based fake news classification systems with overlapping functionality and no technical integration between them, so a user would select one based on code quality (A has higher community engagement) or preferred NLP approach rather than use both together.

Fake-News-Detection
47
Emerging
Fake-News-Detection-using-MachineLearning
34
Emerging
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 19/25
Stars: 96
Forks: 59
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 35
Forks: 19
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Fake-News-Detection

kapilsinghnegi/Fake-News-Detection

This project detects whether a news is fake or not using machine learning.

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.

Related comparisons

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