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)
00:00
Exploring Latent Semantic Indexing in Text Analysis
This chapter explores the effectiveness of latent semantic indexing (LSI) in analyzing text documents, emphasizing its suitability for smaller, topic-specific content. The discussion highlights how document size and content organization impact LSI's categorization and insight extraction capabilities.
Transcript
Play full episode
