Lecture
Latent Dirichlet Allocation
Description
This lecture introduces Latent Dirichlet Allocation (LDA) as a state-of-the-art method for concept extraction, explaining its probabilistic generative model and the process of document generation using a mixture of topics. It covers topic identification, interpretability of topics, and the use of topic models in unsupervised learning, document retrieval, and document classification.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.