fakenews-framework 0.1.2

A simple machine-learning framework for detecting fake news using preprocessing, feature extraction, and multiple ML models.

Fake News Framework

A simple, modular, and reusable machine-learning framework for detecting fake news using preprocessing, feature extraction, and multiple ML models.
Developed by BaByLabs.

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Features

• Clean and modular data preprocessing pipeline
• TF-IDF feature extraction for text classification
• Multiple ML models (Logistic Regression, Random Forest, etc.)
• Easy-to-use predict.py script for running predictions on new text
• Well-structured and extendable package layout
• Ready for publishing as a Python library (PyPI-compatible)

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Installation (once published to PyPI)

pip install fakenews-framework

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Credit to these for our OOP-Final Project:

Fake News Detection By: Sameer Patel Source: https://www.kaggle.com/code/therealsampat/fake-news-detection

Fake News Classification By: Ahmed Hafez Source: https://www.kaggle.com/code/ahmedtronic/fake-news-classification

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