Answers are grounded in this paper and cite their sources.
This paper presents a SVM (Support Vector Machine) classification system which divides contact-center call transcripts into "Greeting", "Question", "Refine", "Research", "Resolution", "Closing" and "Out-of-topic" sections. This call section segmentation is useful to improve search and retrieval functions and to provide more detailed statistics on calls. We use an off-the-shelf automatic speech recognition (ASR) system to generate call transcripts from recorded calls between customers and service representatives.
No takes yet. Share an insight, caveat, or question.
Youngja Park (2007) studied this question.
Synapse has enriched 6 closely related papers on similar clinical questions. Consider them for comparative context: