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Revealing and Classification of Spam Email Detection Using Machine Learning

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Last date : 26-Jun-2026

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Revealing and Classification of Spam Email Detection Using Machine Learning


Dhaneshwar Hariramji Bende



Dhaneshwar Hariramji Bende "Revealing and Classification of Spam Email Detection Using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications, April 2026, pp.235-241, URL: https://www.ijtsrd.com/papers/ijtsrd101433.pdf

Spam emails have become a serious problem in modern digital communication, causing security threats such as phishing, fraud, and malware attacks. Manual filtering of emails is inefficient and unreliable due to the continuously evolving nature of spam. This project focuses on developing an automated spam email detection system using machine learning techniques. The proposed system analyzes the content of emails to classify them as spam or legitimate. Text preprocessing methods such as tokenization, stop-word removal, and stemming are applied to clean the email data. Feature extraction is performed using the Term Frequency–Inverse Document Frequency (TF-IDF) technique. A Naive Bayes classifier is employed to build the detection model due to its simplicity and effectiveness. The system is trained and tested on a publicly available dataset obtained from the UCI Machine Learning Repository. Experimental results demonstrate high classification accuracy and a low false-positive rate. The proposed approach is computationally efficient and suitable for real-time email filtering. This project highlights the importance of machine learning in enhancing email security. Future improvements may include deep learning models and adaptive spam filtering techniques.

Spam Email Detection, Machine Learning, Naive Bayes, Text Classification, TF-IDF


IJTSRD101433
Special Issue | Innovations in Computer Science and Applications, April 2026
235-241
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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