Multi-Label Classification of Short Text: A Study on Wikipedia Barnstars
Sajnani, Hitesh (University of California Irvine) | Javanmardi, Sara (University of California Irvine) | McDonald, David W. (University of Washington) | Lopes, Cristina V. (University of California Irvine)
A content analysis of Wikipedia barnstars personalized tokens of appreciation given to participants reveals a wide range of valued work extending beyond simple editing to include social support, administrative actions, and types of articulation work. Barnstars are examples of short semi-structured text characterized by informal grammar and language. We propose a method to classify these barnstars which contain items of interest into various work type categories.We evaluate several multilabel text categorization classifiers and show that significant performance can be achieved by simple classifiers using features which carry context extracted from barnstars. Although this study focused specifically on work categorization via barnstar content for Wikipedia, we believe that the findings are applicable to other similar collaborative systems
Aug-8-2011
- Country:
- North America > United States > California > Orange County > Irvine (0.04)
- Industry:
- Information Technology > Services (0.46)
- Technology: