arXiv Analytics

Sign in

arXiv:1708.04134 [cs.CL]AbstractReferencesReviewsResources

A Measure for Dialog Complexity and its Application in Streamlining Service Operations

Q Vera Liao, Biplav Srivastava, Pavan Kapanipathi

Published 2017-08-04Version 1

Dialog is a natural modality for interaction between customers and businesses in the service industry. As customers call up the service provider, their interactions may be routine or extraordinary. We believe that these interactions, when seen as dialogs, can be analyzed to obtain a better understanding of customer needs and how to efficiently address them. We introduce the idea of a dialog complexity measure to characterize multi-party interactions, propose a general data-driven method to calculate it, use it to discover insights in public and enterprise dialog datasets, and demonstrate its beneficial usage in facilitating better handling of customer requests and evaluating service agents.

Related articles: Most relevant | Search more
arXiv:1412.6264 [cs.CL] (Published 2014-12-19)
Supertagging: Introduction, learning, and application
arXiv:1401.2663 [cs.CL] (Published 2014-01-12)
Dictionary-Based Concept Mining: An Application for Turkish
arXiv:2301.09912 [cs.CL] (Published 2023-01-24)
Applications and Challenges of Sentiment Analysis in Real-life Scenarios