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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Guardians of the Inbox-Constructing an Email Spam Classifier for Seamless Deployment |
| Authors Name: | Mahinoor Sindagiri , Prof. D. A. Kulkarni , Dr. M. M. Math |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_204401
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| Published Paper Id: | IJNRD2308373 |
| Published In: | Volume 8 Issue 8, August-2023 |
| DOI: | |
| 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. |
| Keywords: | - Naive Bayes, Machine learning techniques, Support Vector Machine algorithm, Classifiers, DevOps, Jfrog, Gitlab. |
| Cite Article: | "Guardians of the Inbox-Constructing an Email Spam Classifier for Seamless Deployment", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.d523-d528, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308373.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2308373 Registration ID: 204401 Published In: Volume 8 Issue 8, August-2023 DOI (Digital Object Identifier): Page No: d523-d528 Country: Vijayapur, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2308373 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2308373 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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