Paper Title
Guardians of the Inbox-Constructing an Email Spam Classifier for Seamless Deployment
Article Identifiers
Authors
Mahinoor Sindagiri , Prof. D. A. Kulkarni , Dr. M. M. Math
Keywords
- Naive Bayes, Machine learning techniques, Support Vector Machine algorithm, Classifiers, DevOps, Jfrog, Gitlab.
Abstract
In today's dynamic digital landscape, the proliferation of email communication has revolutionized connectivity and collaboration. However, the persistent challenge of email spam disrupts productivity, clogs inboxes, and poses security threats. In response, the fusion of Machine Learning (ML) and DevOps principles has emerged as a compelling strategy. This project explores the development and deployment of an Email Spam Classifier through ML, enriched by DevOps principles. The dataset is pre-processed using various methods, including converting plain text into features, stemming and tokenization. Naïve Bayes, a classifier utilized in supervised machine learning techniques. for the purpose of detecting spam with the utmost precision score. The approach demonstrates the potential of machine learning in identifying spam emails and enhancing the effectiveness of existing screening algorithms. This project presents an integrated approach to combat email spam, utilizing ML algorithms and DevOps practices. The Email Spam Classifier demonstrates efficient identification, while the deployment process showcases streamlined automation and collaboration, fostering a comprehensive solution to the challenge of email spam.
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How To Cite (APA)
Mahinoor Sindagiri, Prof. D. A. Kulkarni, & Dr. M. M. Math (August-2023). Guardians of the Inbox-Constructing an Email Spam Classifier for Seamless Deployment. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), d523-d528. https://ijnrd.org/papers/IJNRD2308373.pdf
Issue
Volume 8 Issue 8, August-2023
Pages : d523-d528
Other Publication Details
Paper Reg. ID: IJNRD_204401
Published Paper Id: IJNRD2308373
Downloads: 000121978
Research Area: Engineering
Country: Vijayapur, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2308373.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308373
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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