Self Monitoring E-mail Organizer with Information Management and Text Mining Application
Raghvendra Patel1, Deepak Kumar Dixena2
1Raghvendra Patel, Asst. Prof. Department of Computer science, Laxmi Narain College of Technology, Jabalpur (M.P), India.
2Deepak Kumar Dixena, Asst. Prof. Department of Computer science, GGV, Bilaspur (C.G), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on July 2013 | PP: 13-15 | Volume-2 Issue-3, July 2013 | Retrieval Number: B0655052213/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: “Email is one of the most ubiquitous applications used regularly by millions of people worldwide. Professionals have to manage hundreds of emails on a daily basis, sometimes leading to overload and stress. Lots of emails 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 work 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.”
Keywords: Information Management; Periodic Access; Mail Organizer; Email Client; Text mining; EIA algorithm
Scope of the Article: Text mining