Predictive methods for Text mining
published: Feb. 25, 2007, recorded: July 2006, views: 1134
Report a problem or upload filesIf 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.
I will give a general overview of using prediction methods in text mining applications, including text categorization, information extraction, summarization, and question answering. I will then discuss some of the more advanced issues encountered in real applications such as structured and complicated output classification, the use of unlabeled data, modeling link structures, collective inference and community effect, and transfer learning under changing environment, etc.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !