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Using Support Vector Machine For Classification And Feature Extraction Of Spam In Email

Author

Listed:
  • Anuradha Reddy
  • M. Uma Maheswari
  • A. Viswanathan
  • G. Vikram

Abstract

We provide an overview of recent and successful content-based e-mail spam filtering algorithms in this article. Our main focus is on spam filters based on machine learning and variants influenced by them. We report on significant ideas, methodologies, key endeavors, and the field's current state-of-the-art. The initial interpretation of previous work demonstrates the fundamentals of spam filtering and feature engineering in e-mail. We finish by looking at approaches, procedures, and evaluation standards, as well as exploring intriguing offshoots of recent breakthroughs and proposing directions of future research.

Suggested Citation

  • Anuradha Reddy & M. Uma Maheswari & A. Viswanathan & G. Vikram, 2022. "Using Support Vector Machine For Classification And Feature Extraction Of Spam In Email," International Journal of Innovation in Engineering, International Scientific Network (ISNet), vol. 2(2), pages 26-32.
    • Handle: RePEc:bao:ijieis:v:2:y:2022:i:2:p:26-32:id:55
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