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Latent Variable Models for Document Analysis

Latent Variable Models for Document Analysis

This video was recorded at Machine Learning Summer School (MLSS), Kioloa 2008. Wray Buntine will consider various problems in document analysis (named entity recognition, natural language parsing, information retrieval), and look at various probabilistic graphical models and algorithms for addressing the problem. This will not be an extensive coverage of information extraction or natural language processing, but rather a look at some of the theory, methods and practice of particular cases, including the use of software environments.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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