Dr. Ringger, Mark Gulbrandsen (Msg26), Daniel Walker, and Scott Chun are studying text classification and text clustering using Natural Language Processing techniques. The course will cover Naive Bayes, Expectation Maximization, Maximum Entropy, several feature selection topics, several Support Vector Machines topics, and several Clustering topics. The experimental part of this course is searching for a novel use of these concepts. The expected outcome is a paper submitted to a substantial conference in the NLP field.
We meet the following days/times in the NLP South Lab.
The file Schedule.xls (a Microsoft Excel formatted file) outlines the schedule for this class.
The grade for this course is calculated based on four performance areas:
Dr. Ringger will give individual feedback roughly monthly to each of the participants, so that they can gauge their performance.