• M. Anusha Rani
• Gudimetla Naga Jyothi
• Kesari Trisha
• Muppavarapu Srividya
• Raghavarapu Blessy

From the abstract of the document, the detection of spam emails is an important issue. Spam emails are considered unwanted and deceitful messages sent to people or a company . This makes it possible to use natural language processing, combined with learning algorithms, to enable spam detection. Most of the machine classifiers commonly utilized for the classification of identification of an email, such as valid or unwanted spam, are naïve Bayes, support vector machines, and more. This work deals mainly with the distinctive features in the documents content about spam filtering. Amongst these papers, this abstract tells me of the varied methods of machine learning which include use of Neural Networks, Naïve Bayes, Support Vector Classifier, and Logistic Regression that have assisted in the spam detection process. It has contributed to this particular domain of spam filtering by applying these techniques suitably.

Detecting Spam Emails using Natural Language Processing And Machine Learning

"Detecting Spam Emails using Natural Language Processing And Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.507-514, November-2024, Available :http://www.jetir.org/papers/JETIRGO06054.pdf

"Detecting Spam Emails using Natural Language Processing And Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp507-514, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06054.pdf