Email Spam Classifier Using NLP And ML

Authors

  • Sharmila Mudgekar Department of Computer Applications, Shree Devi Institute of Technology, Kenjar, Mangaluru, India Author
  • Reesha P R Department of Computer Applications, Shree Devi Institute of Technology, Kenjar, Mangaluru, India Author
  • Chaitra Manjunath Naik Department of Computer Applications, Shree Devi Institute of Technology, Kenjar, Mangaluru, India Author
  • Vidyarani U A Department of Computer Applications, Shree Devi Institute of Technology, Kenjar, Mangaluru, India Author
  • Divya Naveen Department of Computer Applications, Shree Devi Institute of Technology, Kenjar, Mangaluru, India Author

DOI:

https://doi.org/10.55011/dx8pay31

Keywords:

Email Communication, Spam Detection, Junk Email, Text Classification

Abstract

Email has become the most largely used official communication mechanism for most of the internet users. In the past few years, the Email usage has increased. Also developed and increased the problems caused by spam Emails. spam or junk email is referred to the act of shared large unrequested messages. Thus, keeping this mind, it is main to build a complete system for spam classification based on semantics based text classification using NLP and ML. The performance of good emerging ML methods and algorithms is reviewed and assessed in this study. Spammers use developed and creative methods to bring their illegal activities using spam emails

Published

2025-09-05

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