Keeping Your Threads Untangled: An Intelligent System for Semi-automatically Organising Corporate Messages by Content

G. Hunter, J. Denholm-Price, Thomas Michel, John Yardley, David Fox
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Abstract

This paper describes an approach, based on a system, called Threads, which is already in commercial use, to automatically synchronise sets of digital messages (e.g. e-mail and digitised phone calls) with particular projects, in which context the messages were created. Based on the authors' experience that it is generally easier to browse projects of interest than to search masses of messages, authorised users can extract information from far more messages, far quicker than they might otherwise do by trying to guess suitable search terms. The novelty described in this paper is a method for organising such messages automatically and intelligently according to statistics relating to less common words (called "keywords") which they contain. Initial experiments using this method are described, using both e-mail data from the parent company, and on the publicly available ENRON dataset of e-mails and phone calls. These preliminary results are interesting, but suggest the method as currently implemented is only suitable for semi-automatic classification, but not yet for fully automated allocations to projects.
保持你的思路不纠结:一个智能系统半自动组织企业信息的内容
本文描述了一种方法,该方法基于一个名为Threads的系统,该系统已经在商业上使用,可以自动同步数字消息集(例如电子邮件和数字化电话)与特定项目,这些消息是在其中创建的。根据作者的经验,浏览感兴趣的项目通常比搜索大量消息更容易,授权用户可以从更多的消息中提取信息,比他们试图猜测合适的搜索词要快得多。本文所描述的新颖之处在于,它是一种根据信息中包含的不常见单词(称为“关键字”)的统计数据自动智能地组织此类信息的方法。本文描述了使用这种方法的初步实验,实验使用了母公司的电子邮件数据和公开的安然电子邮件和电话数据集。这些初步的结果很有趣,但是表明当前实现的方法只适合半自动分类,而不适合完全自动化的项目分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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