Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Machine Learning Summer School 2009 - Cambridge

Topic Models

author:David Blei, Computer Science Department, Princeton University
published: Nov. 2, 2009,   recorded: September 2009,   views: 441
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Slides

Slides
0:00 Topic Models
0:50 The problem with information
1:30 Topic modeling
3:06 Discover topics from a corpus
5:06 Model the evolution of topics over time
5:22 Model connections between topics
6:10 Annotate images
7:42 Topic modeling topics (1)
9:46 Topic modeling topics (2)
11:10 Latent Dirichlet Allocation
12:35 Probabilistic modeling
13:26 Intuition behind LDA
15:26 Generative model
22:42 The posterior distribution
23:42 Graphical models (Aside) (1)
25:14 Graphical models (Aside) (2)
26:14 Latent Dirichlet allocation
42:10 The Dirichlet distribution (1)
45:05 The Dirichlet distribution (2)
64:01 Latent Dirichlet allocation (1)
67:25 Latent Dirichlet allocation (2)
67:57 Latent Dirichlet allocation (3)
69:29 Example inference (1)
71:53 Example inference (2)
74:05 Example inference (3)
76:05 Example inference (4)
76:21 Example inference (5)
76:53 Used to explore and browse document collections
79:53 Why does LDA "work"?
81:00 Generative model

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