Information Retrieval and Text Mining

author: Thomas Hofmann, Google, Inc.
published: Feb. 25, 2007,   recorded: September 2004,   views: 31095


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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 deanj, April 8, 2008 at 11:54 p.m.:

Excellent lectures. Contains a good amount of technical detail but also very good motivating examples which relate the details to real world problems. Really excellent presentation. Many thanks for posting this video, this site is an extremely useful resource.

Comment2 Venkatesh Prabhu, June 28, 2008 at 8:45 p.m.:

Simply Superb...Excellant lectures which will be very usefull for all the researchers in this field... every student and researchers should watch this one...

Comment3 Benboudriou, March 14, 2009 at 8:45 p.m.:

In my opinion and i might be wrong, it's a good presentation that contains a lot of ideas. I hope that it will help researchers and post-graduat students.

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