Information Retrieval and Text Mining
author: Thomas Hofmann,
Google, Inc.
published: Feb. 25, 2007, recorded: February 2006, views: 15692
published: Feb. 25, 2007, recorded: February 2006, views: 15692
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.
Watch videos: (click on thumbnail to launch)
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.
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:
We do not have the complete talk here. I found it interesting until what is presented
Is the whole talk somewhere? This isn't even close. There are huge chunks missing.
Write your own review or comment: