EmailVis Visual Analysis of Events in Emails

被引：0
|
作者：
Luo X. [1 ,3 ]
Zhang Q. [1 ,3 ]
Fang F. [2 ,3 ]
Lu Q. [1 ,3 ]
机构：
[1] School of Computer and Information, Hefei University of Technology, Hefei
[2] School of Management, Hefei University of Technology, Hefei
[3] Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2021年 / 33卷 / 01期
关键词：
Collaborative work; Email visualization; Event mining; Topic similarity; Visual analysis;
D O I：
10.3724/SP.J.1089.2021.18255
中图分类号：
学科分类号：
摘要：
Visualization of email text messages and the relationship between sender and receiver can effectively analyze the past important events and human interactions. However, the existing email visualization software is relatively simple to filter and cluster email topics, which makes it difficult for users to excavate deeper information. Given this, EmailVis summarizes and categorizes emails from multiple perspectives, and finally obtains emails which contain important information displaying them in a combination of dots, lines, and email threads, so that users can quickly locate the time and related information of important events. Finally, user research shows that EmailVis can help company managers more clearly memorize the past project completion progress, departmental interactions and abnormal event information, and provide powerful data support for modifying work process and coordinating departmental cooperation, thereby improving the efficiency of personnel collaboration. © 2021, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
引用
收藏
页码：19 / 28
页数：9
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