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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
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.