Machine learning based systems and methods for analyzing intent of emails

Abstract

A machine learning based computing method for analyzing intent of electronic mails, is disclosed. The machine learning based computing method includes steps of: receiving metadata associated with the electronic mails from databases; extracting first textual contents from last received electronic mails stored in electronic mail files by preprocessing the last received electronic mails; analyzing the intent of the electronic mails based on a first machine learning model; classifying the electronic mails into reason codes based on a second machine learning model; extracting information associated with named entities from unstructured and unlabeled electronic mails based on a third machine learning model; grouping the electronic mails into categories based on the intent of the electronic mails, the reason codes, and standardized information associated with the named entities; and providing an output of categorized electronic mails to users on a user interface associated with electronic devices.