Long Short-Term Memory Networks for Email Spam Classification
Author:
Affiliation:
1. Bannari Amman Institute of Technology,Department of IT,Sathyamangalam,India
2. PSG College of Technology,Department of IT,Coimbatore,India
3. PSG College of Technology,Department of EEE,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099476/10100336/10100445.pdf?arnumber=10100445
Reference30 articles.
1. A State of Art: Machine Learning Approaches in Email Spam Filters;siji;International Journal of Scientific Research in Computer Science Applications and Management Studies,2020
2. An Anti-Spam Detection Model for Emails of Multi-Natural Language
3. E-Mail Spam Classification via Machine Learning and Natural Language Processing
4. Comparison of Deep and Traditional Learning Methods for Email Spam Filtering
5. Weighted-based multiple classifier and F-GSO algorithm for email spam classification
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1. Enhancing Email Urgency Reply Prediction with ATAN-Transformer Fusion;Lecture Notes in Networks and Systems;2024
2. Deep Neural Network Based Spam Email Classification Using Attention Mechanisms;Journal of Intelligent Learning Systems and Applications;2023
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