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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