• Rahul
• Dr. Banita

Email has been the most important medium of communication nowadays, through internet connectivity any message can be delivered to all aver the world. More than 270 billion emails are exchanged daily, about 57% of these are just spam emails. Spam emails, also known as non-self, are undesired commercial or malicious emails, which affects or hacks personal information like bank ,related to money or anything that causes destruction to single individual or a corporation or a group of people. Besides advertising, these may contain links to phishing or malware hosting websites set up to steal confidential information. Spam is a serious issue that is not just annoying to the end-users but also financially damaging and a security risk. Spam is any irrelevant and unwanted message or email sent by the attacker to a significant number of recipients by using emails or any other medium of information sharing. As a result, there is a huge need for email system security. Spam emails could contain Trojans, rats, and viruses. Attackers primarily employ this strategy to entice people to use internet services. They might send spam emails with multi-file attachments and URLs jam-packed with harmful and spammy websites, which could result in identity theft, financial fraud, and data breaches. Many email service providers let their customers create keyword-based rules for email filtering.

Natural Language Processing, Spam Filtering, machine learning

"NATURAL LANGUAGE PROCESSING FOR DETECTING SPAM E-MAIL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.b829-b834, April-2024, Available :http://www.jetir.org/papers/JETIR2404193.pdf

"NATURAL LANGUAGE PROCESSING FOR DETECTING SPAM E-MAIL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppb829-b834, April-2024, Available at : http://www.jetir.org/papers/JETIR2404193.pdf