Online Correspondence Hard Sell Ranking Using Expert System and Development of 'Thinking' Computer Systems

Abstract

Today, the majority of communication and exchange across all corporate sectors occurs via email. Spam, or undesired mass mail, is expanding dramatically in volume at the same time that emails are becoming the primary means of information transfer. Phishing emails can be used to spread pornographic content, solicit private information from recipients, or market products and services. In light of this, it is crucial to develop an entire system for identifying spam that is based on semantic text categorization and incorporates URL-based filtering and NLP.A model with excellent performance and efficiency has been sought for after studying several machine learning approaches.