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This document presents a lightweight hybrid feature engineering framework for fake news detection that combines Bag-of-Words (BoW) representation with Incremental Principal Component Analysis (IPCA) and classical machine learning techniques. The proposed method achieves high classification accuracy (99.33%) on the ISOT dataset while maintaining low computational costs, making it suitable for real-time applications. The results demonstrate that this classical approach can compete with deep learning models in

Author

Abdur Rahman

Language

EN