An Email Visualization System Based on Event Analysis
E-mail has a wealth of information, including work topics, interactions between people, and the evolution of events over time. The emails will give users a better understanding that how things have changed and evolved in the past. Much of the effort to visualize email has focused on three areas of email archiving: exploring the relationship between email volumes, mining the evolution of topics and events in emails, or the relationship of email owners to their counterparts. But there are currently fewer systems for analyzing their background stories through mail dataset. In this paper, we present the Mail event, which is an email visualization system. Its main purpose is to help users analyze the main information in the mail data set, such as keywords, topics, and event contents of the mail. Firstly, it helps users understand the keywords and themes of the mail through a variety of different attempts. Secondly, the way the email is matched into an event allows the user to understand the story of the email corresponding to the email at a certain point in time so that users can deeply understand the story behind the email. In this system, through rich visual elements, users can understand the e-mail dataset and have a further understanding of the development of events and their anomalies, so as to better coordinate or improve future work. Finally, the effectiveness of the system is verified by case studies and user evaluation experiments.
KeywordsEmail visualization Email event analyze Cooperative information
This work was supported in part by the Natural Science Foundation of Anhui Province of China under Grant 1708085MF158, in part by the Visiting Scholar Researcher Program at North Texas University through the State Scholarship Fund of the China Scholarship Council under Grant 201806695039, and in part by the Key Project of Transformation and Industrialization of Scientific and Technological Achievements of Intelligent Manufacturing Technology Research Institute of Hefei University of Technology under Grant IMICZ2017010.
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