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When Topic Models Go Bad - Diagnosing and Improving Models for Exploring Large Datasets

Center for Language & Speech Processing(CLSP), JHU via YouTube

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Learn to diagnose and improve topic models for exploring large datasets in this comprehensive lecture that addresses common pitfalls and provides practical solutions for enhancing model performance and interpretability in natural language processing applications.

Syllabus

Jordan Boyd-Graber: When Topic Models Go Bad: Diagnosing and Improving Models for Exploring Large...

Taught by

Center for Language & Speech Processing(CLSP), JHU

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