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

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.

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