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Wikipedia vandalism detection: combining natural language, metadata, and reputation features

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Wikipedia vandalism detection: combining natural language, metadata, and reputation features

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Adler, BT.; Alfaro, LD.; Mola Velasco, SM.; Rosso, P.; West, AG. (2011). Wikipedia vandalism detection: combining natural language, metadata, and reputation features. En Computational Linguistics and Intelligent Text Processing. Springer Verlag (Germany). 6609:277-288. https://doi.org/10.1007/978-3-642-19437-5_23

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Metadatos del ítem

Título: Wikipedia vandalism detection: combining natural language, metadata, and reputation features
Autor: Adler, B. Thomas Alfaro, Luca de Mola Velasco, Santiago Moisés Rosso, Paolo West, Andrew G
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Wikipedia is an online encyclopedia which anyone can edit. While most edits are constructive, about 7% are acts of vandalism. Such behavior is characterized by modifications made in bad faith; introducing spam and other ...[+]
Palabras clave: Database Management , Data Mining and Knowledge Discovery
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-642-19436-8
Fuente:
Computational Linguistics and Intelligent Text Processing. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-19437-5_23
Editorial:
Springer Verlag (Germany)
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-642-19437-5_23
Título del congreso: 12th International Conference, CICLing 2011
Lugar del congreso: Tokyo, Japan
Fecha congreso: February 20-26, 2011
Serie: Lecture Notes in Computer Science;vol. 6009
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-03/ES/Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0/
info:eu-repo/grantAgreement/NIH//1R01GM089820-01A1/US/The Gene Wiki: Community intelligence applied to gene annotation/
info:eu-repo/grantAgreement/ONR//N00014-07-1-0907/
Agradecimientos:
The authors from Universitat Politècnica de València thank also the MICINN research project TEXT-ENTERPRISE 2.0 TIN2009-13391-C04-03 (Plan I+D+i). UPenn contributions were supported in part by ONR MURI N00014-07-1-0907. ...[+]
Tipo: Capítulo de libro

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