Email Classification into Relevant Category Using Neural Networks
This addresses a practical issue for businesses handling high volumes of customer emails, but it is incremental as it applies a standard method to a common text classification task.
The paper tackles the problem of automatically classifying customer emails into relevant departments for online shopping and service providers, presenting an artificial neural network model that achieves this on a personal Gmail dataset.
In the real world, many online shopping websites or service provider have single email-id where customers can send their query, concern etc. At the back-end service provider receive million of emails every week, how they can identify which email is belonged of a particular department? This paper presents an artificial neural network (ANN) model that is used to solve this problem and experiments are carried out on user personal Gmail emails datasets. This problem can be generalised as typical Text Classification or Categorization.