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E-mail is one of the most ubiquitous applications used regularly by millions of people worldwide. Professionals have to manage hundreds of e-mails on a daily basis, sometimes leading to overload and stress. Lots of e-mails are unanswered and sometimes remain unattended as the time pass by. Managing every single email takes a lot of effort especially when the size of email transaction log is very large. This paper is focused on creating better ways of automatically organizing personal email messages. In this paper, a methodology for automated event information extraction from incoming email messages is proposed. The proposed methodology/algorithm and the software based on the above, has helped to improve the email management leading to reduction in the stress and timely response of emails.
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