Jun 20, 2019
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
- 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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