vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff9e562b0000001b7f040001000100 Quality monitoring of calls is a critical activity in call centers. Currently, it is done manually, wherein a person listens to all the recorded audio files or a random sample of audio files to check how the call center representative has performed. Quality monitoring also helps in recording the customer’s feedback, which is useful for other business activities like marketing, sales, service, etc. However, this process involves enormous amount of human effort and time besides being error prone. This paper evaluates the application of Machine Learning and Natural Language Processing algorithms in the process of assessing the call center agents.
V S Sudarsan, Govind Kumar
National Institute of Technology, Tiruchirappalli, India
Voice Call Analytics, Machine Learning, Natural Language Processing, Artificial Intelligence, Artificial Neural Networks
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 10 , Issue: 1 , Pages: 1989-1993 )
Date of Publication :
October 2019
Page Views :
150
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