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)
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Unpacking Topic Modeling Techniques
This chapter explores the complexities of topic modeling, comparing it to categorization and discussing clustering types. It highlights the effectiveness of non-negative matrix factorization (NMF) for analyzing document-term matrices while addressing challenges in processing large datasets. Additionally, the chapter covers preprocessing techniques and dimensionality reduction to enhance efficiency in topic modeling.
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