| AN4 -> Workshop: Making Statistics More Effective in Schools of Business: Text Mining Instruction | ||
| Time: 10:15AM to 11:30 AM on Thursday, February 26 | ||
| Place: Forsyth | ||
| Session Chair: Kellie B. Keeling, University of Denver | ||
| Learn from the classroom experiences of teaching natural language processing, n-grams, and cluster analysis for text analytics and see a demonstration of how it was done with Python. Also learn about ensemble machine learning techniques that provide a significantly more sophisticated approach to model estimation as compared to traditional techniques that evaluate accuracy based on hold-out samples or cross validation sampling. This will be done with Rapid Miner. | ||
| Experiences with Teaching Text Mining | ||
| by: | Kellie B. Keeling, University of Denver (Corresponding) | |
| Robert L. Andrews, Virginia Commonwealth University | ||
| Ensemble Learning with Rapidminer: Applied Text Mining | ||
| by: | Michael A. King, Virginia Tech (Corresponding) | |
| Robert L. Andrews, Virginia Commonwealth University | ||
Updated 02/21/2015