Information Retrieval and Text Mining

author: Thomas Hofmann, Google, Inc.
published: Feb. 25, 2007,   recorded: February 2006,   views: 1999
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 15:31
!NOW PLAYING
Watch Part 2
Part 2 38:04
!NOW PLAYING
Watch Part 3
Part 3 45:28
!NOW PLAYING
Watch Part 4
Part 4 31:02
!NOW PLAYING
Watch Part 5
Part 5 35:40
!NOW PLAYING
Watch Part 6
Part 6 38:47
!NOW PLAYING

Description

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.

See Also:

Download slides icon Download slides: mlss06au_hofmann_irtm.pdf (14.4┬áMB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

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.

Write your own review or comment:

make sure you have javascript enabled or clear this field: