Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - A podcast by Sam Charrington - Luni
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Today we’re joined by William Fehlman, director of data science at USAA, to discuss: • His work on topic modeling, which USAA uses in various scenarios, including member chat channels. • 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.
