Intelligent Email Automation Analysis Driving through Natural Language Processing (NLP)

Abstract

Electronic Mail (E-mail) is a technique for interchange messages between individuals utilizing electronic gadgets. Electronic Mail in the current scenario turned out to be a universal communication medium, and to the point of view it prevails that, an email address has much of the importance and treated as a vital. It is essential for any speedy communications in the business, government, trading, diversion, and different circles of day-to-day requisites. In addition to the mail a spam message is an instant message for promoting a specific item or administration is a very uncomfortable to the users. Most email spam messages are business in nature. Regardless of whether business, many are irritating, yet in addition risky in light of the fact that they might contain joins that lead to phishing sites or destinations that are facilitating malware - or incorporate malware as document connections. These spam messages from unknown person is often happening. These messages can either be avoided or considered after translating it using this message analysis method. Message Analysis separates the messages into spam messages and non-spam messages. In this process, by analyzing the senders' ID or number, non-spam messages are categorized based on languages and language detection. After categorization, the categorized messages can either managed by translating the messages or ignored. A reply can be sent to the received messages on ones preferred language, while typing the message, the content will be analyzed based on certain properties like grammatical errors, sentiment analysis, spelling correction and so on. The reply message will then be translated to the received message language and delivered. These problems are intended to be addressed by using the Natural Language Processing (NLP) techniques.