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@article{174884,
        author = {Deepak Sharma and Kunal Mahour},
        title = {E-mail Spam Detection Using Machine Learning Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1833-1837},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174884},
        abstract = {In an era where over 3.4 billion phishing emails are sent daily, email security has become a critical concern for organizations and individuals alike. This research presents an innovative approach to email spam detection by fusing cutting-edge natural language processing techniques with machine learning approaches.. Our system achieves remarkable accuracy in distinguishing between legitimate and malicious emails while addressing the evolving challenges of modern email threats.},
        keywords = {(Naive Bayes, SVM, Random Forest, KNN, TFIDF, Decision Tree, and Machine Learning)},
        month = {April},
        }