Learning Path

Document Representation → Topic Modeling in Practice

This graduate-level learning path guides NLP practitioners through the theory and practice of topic modeling, from foundational document representation to advanced neural approaches. It covers classical models (LSA, NMF, LDA), evaluation methods, coherence metrics, and extensions like dynamic and neural topic models, with a focus on systematic understanding and practical application.