DiscoverThis Week in Machine Learning & Artificial Intelligence (AI) PodcastTopic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276
Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

Update: 2019-06-205
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Today we’re joined by William Fehlman, director of data science at USAA. We caught up with William a while back to discuss:

  • His work on topic modeling, which USAA uses in various scenarios, including chat channels with members via mobile and desktop interfaces.
  • How their datasets are generated.
  • Explored methodologies of topic modeling, including latent semantic indexing, latent Dirichlet allocation, and non-negative matrix factorization.
  • We also explore how terms are represented via a document-term matrix, and how they are scored based on coherence.

The complete show notes can be found at twimlai.com/talk/276.

Visit twimlcon.com to learn more about the TWIMLcon: AI Platforms conference! Early-bird registration ends on 6/28!

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Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276

Sam Charrington