Skip to main content

Latent Dirichlet Allocation (LDA) Topic Modeling in Python

2023 Webinar - Latent Dirichlet Allocation (LDA) Topic Modeling in Python - October 12

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.
Caption Disclaimer
CAS provides closed captioning generated by software applications for the convenience of viewers. CAS does not review for accuracy of the information that appears in a closed caption, and such information (including any foreign language translation and transcription displayed in a closed caption) may not be relied upon as an accurate or complete record of CAS programming. CAS makes no representations or warranties, and expressly disclaim any responsibility or liability with respect to, any errors or omissions in, or the accuracy, reliability, timeliness or completeness of, any information that appears in a closed caption.