TagLearner: A P2P Classifier Learning TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Tex System from Collaboratively Tagged Tex t Documents t Documents Haimonti Dutta Haimonti Dutta 1 , Xianshu Zhu , Xianshu Zhu 2 , Tushar Muhale , Tushar Muhale 2 , Hillol Kargupta , Hillol Kargupta 2 , , Kirk Borne Kirk Borne 3 , Codrina Lauth , Codrina Lauth 4 , Florian Holz , Florian Holz 5 , and Gerherd Heyer , and Gerherd Heyer 5 1 Columbia University 2 University of Maryland, Baltimore County 3 George Mason University 4 Fraunhofer Institute for Intelligent Analysis and Information Systems 5 University of Leipzig
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TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
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TagLearner: A P2P Classifier Learning System frTagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documentsom Collaboratively Tagged Text Documents
1Columbia University 2University of Maryland, Baltimore County
3George Mason University4Fraunhofer Institute for Intelligent Analysis and Information Systems
5University of Leipzig
OutlineOutline• Introduction and Motivation• Related Work• TagLearner• Distributed Classifier-learning Algorithm• Experiments• Conclusion and Future Work
IntroductionIntroduction• Large Online Document Repositories:
– Online Newspapers, Digital Libraries, etc.– Growing in size
• Text categorization on the repositories:– No automated text classification mechanism– Performed by authorities, such as librarians