Context-Aware Spam Detection Using BERT Embeddings with Multi-Window CNNs

Key Points

• The framework demonstrates effective spam email detection, reducing false positives.
• Accuracy improved by utilizing BERT embeddings alongside multi-window convolutional neural networks.
• Analysis focused on various email samples to assess classification performance.
• Findings suggest that the approach offers improvements, yet further testing is essential for broader application.