E-Mail Spam Classification via Machine Learning and Natural Language Processing
Akash Junnarkar, Siddhant Adhikari, Jainam Fagania, Priya Chimurkar, Deepak C. Karia
Abstract
In our current modern scenario, majority of the correspondence and exchange in all business sectors take place through Emails. As the rate of exchange of information via emails is increasing exponentially, the amount of unsolicited bulk mail or Spam. These Emails are sent for a number of reasons: Extracting confidential information from individuals, promotion of adult content and marketing/advertising of products and services. Thus, keeping this mind, it is of paramount importance to build a comprehensive system for Spam Classification based on semantics based text classification using NLP and URL based filtering. Various Machine Learning algorithms have been surveyed and the objective is to create a model with high performance and efficiency.