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Latent Dirichlet Allocation (LDA) Topic Modeling in Python

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Description

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR. DUE TO HIGH VOLUME OF DEMAND, WE ARE ONLY ABLE TO GUARANTEE A SEAT TO THOSE WHO REGISTER 48 HOURS AHEAD OF THE WEBINAR TIME.

Valuable data that could be used for business insights and decision-making is often only available in free form text fields. The presentation will review one method of converting text to more usable information by using Latent Dirichlet Allocation (LDA) topic modeling. The discussion will include an overview of when the LDA method was applied to voicemail transcripts to quantify the most common reasons claims participants call claim representatives, with the results helping to prioritize IT investment in building out self-service functionality.

Learning Objectives:
  1. Come away with an understanding of Latent Dirichlet Allocation and tools to apply LDA in practice.
Registration Information and Fees

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR

Registration Fees (in U.S. Dollars) Received on/by
September 28, 2023
Received after
September 28, 2023
Individual $50 $75
Multiple Connections**
(Unlimited internet connections for individuals working for the same company. Please note that audio for this presentation will be streamed via the web)
$600 $650

*Multiple Connection Registrations should contact Mallory Peebles directly at
mpeebles@casact.org. The registering party for the Multiple Connection Registration will be responsible for distributing all event details to attending individuals within their company.

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Cancellations/Refunds
Registrations fees will be refunded for cancellations received in writing through email, refund@casact.org, by October 5, 2023 less a $25 processing fee.

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Contributors

  • Denise Christophel, MS, CSPA, CPCU

    Denise Christophel is a Director of Advanced Analytics at Sentry Insurance. She leads a team of talented individuals who provide analytics and business intelligence solutions for commercial lines and several other areas within Sentry. Her educational background includes a MS in Statistics from Oklahoma State University and a BA in Psychology from University of Northern Iowa. She has also earned the Certified Specialist in Predictive Analytics (CSPA) credential through the CAS Institute.

October 12, 2023
Thu 12:00 PM EDT

Duration 1H 30M

This live web event has ended.

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