Information Retrieval and Text Mining

author: Thomas Hofmann, Google, Inc.
published: Feb. 25, 2007,   recorded: February 2006,   views: 15692


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This four hour course will provide an overview of applications of machine learning and statistics to problems in information retrieval and text mining. More specifically, it will cover tasks like document categorization, concept-based information retrieval, question-answering, topic detection and document clustering, information extraction, and recommender systems. The emphasis is on showing how machine learning techniques can help to automatically organize content and to provide efficient access to information in textual form.

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Reviews and comments:

Comment1 Avishek, December 12, 2007 at 2:34 p.m.:

We do not have the complete talk here. I found it interesting until what is presented

Comment2 Dave, January 11, 2012 at 9:49 p.m.:

Is the whole talk somewhere? This isn't even close. There are huge chunks missing.

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