Multi-label classification of short text: A study on Wikipedia barnstars
|Multi-label classification of short text: A study on Wikipedia barnstars|
|Author(s)||Sajnani H., Javanmardi S., McDonald D.W., Lopes C.V.|
|Published in||AAAI Workshop - Technical Report|
|Keyword(s)||Unknown (Extra: Administrative action, Collaborative systems, Content analysis, Multi-label, Semi-structured text, Social support, Text categorization, Wikipedia, Work type, Text processing)|
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Multi-label classification of short text: A study on Wikipedia barnstars is a 2011 conference paper written in English by Sajnani H., Javanmardi S., McDonald D.W., Lopes C.V. and published in AAAI Workshop - Technical Report.
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 multi-label 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. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.
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