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What is Spam Email Classification with RNNs about?

The project report details the development of a spam email classification system using Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, to enhance email filtering accuracy. It highlights the limitations of traditional machine learning techniques and demonstrates how RNNs can effectively learn complex patterns in text data. The study concludes that RNNs significantly outperform conventional spam filters, suggesting their potential for real-time implementation in large-sc

Author

2B1 P.Balaji

Language

EN