Annotation and Detection of Emotion in a Task-oriented Human-Human Dialog Corpus
Published 1 January 2002
Laurence Devillers, Ioana Vasilescu, Lori Lamel
Citations31
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TL;DR
Three studies on the use of multi-level annotations including emotion tags for diagnosis of the dialog state using linguistic information and two perceptual tests for identifying emotions as well as the prosodic and textual cues which signal them are reported on.
Abstract
Automatic emotion detection is potentially important for customer care in the context of call center services. A major difficulty is that the expression of emotion is quite complex in the context of agent-client dialogs. Due to
Keywords
Arts and HumanitiesHealth Professions
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