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What is NLP-Based Spam Detection System about?

This project report details the development of an NLP-based spam detection system aimed at efficiently identifying spam messages in digital communication. Utilizing machine learning and deep learning techniques, the system achieves over 95% accuracy by analyzing text patterns and employing feature extraction methods like TF-IDF and Word Embeddings. The report discusses the methodology, implementation, results, and future enhancements for improving spam detection capabilities.

Author

Divya

Language

EN