Clustering Analysis for Customer Audio Conversations in InsurTech

Insight categories: AI and MLBig Data & AnalyticsHealthcareTechnology

Clients interact with customer care representatives from the insurance industry every day. These recorded phone conversations are a valuable source of information for the kinds of questions consumers ask and what their preferences are when purchasing an insurance plan.

How can the insurance sector employ cluster analysis with its call data in order to better serve its clients? Learn how customer phone calls can be converted to a transcript, cleaned of unnecessary words, converted to a vectorized form, and modelled using KMeans and Word2Vec.

Authors

clustering analysis

Author

Dr. Param Jeet

View all Articles

clustering analysis

Author

Sudhanshu Joshi

View all Articles

Trending Insights

If You Build Products, You Should Be Using Digital Twins

If You Build Products, You Should Be Using...

Digital TransformationTesting and QAManufacturing and Industrial
Empowering Teams with Agile Product-Oriented Delivery, Step By Step

Empowering Teams with Agile Product-Oriented Delivery, Step By...

AgileProject ManagementAutomotiveCommunicationsConsumer and RetailMedia

Top Authors

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Lavanya Mandavilli

Lavanya Mandavilli

Principal Technical Writer

Oleksandr Fedirko

Oleksandr Fedirko

Senior Solution Architect

Mark Norkin

Mark Norkin

Consultant, Engineering

Deborah Kennedy

Deborah Kennedy

Associate Vice President,Client Engagement

All Categories

  • URL copied!