How to Use Topic Modeling to Extract Conversational Insights

Interested in learning how topics are uncovered through speech analytics? Senior Data Scientist Yang Liu and Feature Engineer Kyler Briscoe discuss how CallMiner uses embedding on the sentence/phrase level to categorize topics mentioned in spoken conversation.

Webinar July 17, 2019 at 2:00 p.m. EDT.

Hear from our experts how they're using the latest NLP algorithms and pre-trained models to classify topics said in conversations.

Gain insight into their research on:

Clustering of Sentence Phrase
Classification of Topics in the Conversation
Scalability of These Processes in Production

Register now, watch when you want!

First Name:

Last Name:

Job Title:

Industry:

Phone Number:

Business Email:

Company:

No. of Agents in your Company:

Do you currently have speech analytics?

Call Recorder:

Which Recorder do you use?

Partner Registration (L):

UTMSource:

UTMContent:

UTMMedium:

UTMName:

UTMTerm:

Leveraging Machine Learning in Conversational Analytics

Expose "real world AI" through actual model outputs and
real business insights gained through Machine Learning

Machine Learning can detect signals from noisy data and develop solutions to better your business results. But how do you leverage robust predictive models uncover actions and recommendations?

Learn in our AI Webinar series presentation with VP of AI Rick Britt how CallMiner is uncovering the three foundational research areas leading to Conversational AI advances.

In this webinar, you'll gain AI insights into these topics and more:

First Call Resolution (FCR) influence on CX
Reason for Call (RFC) Correlations to CX and Satisfaction
Which Features Have a Strong Influence on CX Scores