Abstract
Email is an application that is used as a means of sending letters via a computer network or the internet. Many people whose work is done relate to other people, and email is the main channel through which work and related information can be distributed. An email has a feature that is to enable automatic responses. This feature is in the form of an automatic reply that will be sent in response to emails received when the email user is unable to respond. However, this feature still uses the default email to reply to receive emails. So in this study, the researcher proposes a new system to develop this feature by using user habits when the user replies to incoming emails. Using text processing techniques and sentiment analysis, we build a retrieval algorithm that finds similar cases outside of exact matches. This study uses a Cloud Adoption and is designed to use Power Automate to improve the performance of the system.
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