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.
翻译:在现实世界中,许多在线购物网站或服务供应商都有单一的电子邮件身份,客户可以发送询问、关注等。 在后端服务供应商每周收到数百万封电子邮件时,他们如何识别哪个电子邮件属于某个部门?本文展示了用于解决这一问题的人工神经网络模型,并在用户个人邮件电子邮件数据集上进行了实验。 这个问题可以被概括为典型的文本分类或分类。