HotSpots: visualizing edits to a text

  • Authors:
  • Srinivas Bangalore;David Smith

  • Affiliations:
  • AT&T Labs - Research, NJ;AT&T Labs - Research, NJ

  • Venue:
  • EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
  • Year:
  • 2008

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Abstract

Compared to the telephone, email based customer care is increasingly becoming the preferred channel of communication for corporations and customers. Most email-based customer care management systems provide a method to include template texts in order to reduce the handling time for a customer's email. The text in a template is suitably modified into a response by a customer care agent. In this paper, we present two techniques to improve the effectiveness of a template by providing tools for the template authors. First, we present a tool to track and visualize the edits made by agents to a template which serves as a vital feedback to the template authors. Second, we present a novel method that automatically extracts potential templates from responses authored by agents. These methods are investigated in the context of an email customer care analysis tool that handles over a million emails a year.