77082 20210121114523.0 doi 10.1007/978-3-319-27030-2_15 sideral 109659 ART-2015-109659 eng (orcid)0000-0001-5600-0008 Garrido, Ángel Luis The GENIE System: classifying documents by combining mixed-techniques 2015 Access copy available to the general public Unrestricted Today, the automatic text classification is still an open problem and its implementation in companies and organizations with large volumes of data in text format is not a trivial matter. To achieve optimum results many parameters come into play, such as the language, the context, the level of knowledge of the issues discussed, the format of the documents, or the type of language that has been used in the documents to be classified. In this paper we describe a multi-language rule-based pipeline system, called GENIE, used for automatic document categorisation. We have used several business corpora in order to test the real capabilities of our proposal, and we have studied the results of applying different stages of the pipeline over the same data to test the influence of each step in the categorization process. The results obtained by this system are very promising, and in fact, the GENIE system is already being used on real production environments with very good results. info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.284 2015 Business and International Management 2015 Q2 Modeling and Simulation 2015 Q3 Information Systems and Management 2015 Q3 Management Information Systems 2015 Q3 Control and Systems Engineering 2015 Q3 Information Systems 2015 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Granados-Buey, María Escudero, Sandra Peiró, Álvaro (orcid)0000-0002-7073-219X Ilarri, Sergio Universidad de Zaragoza (orcid)0000-0002-7462-0080 Mena, Eduardo Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 226 (2015), 231-246 Lect. notes bus. inf. process. Lecture Notes in Business Information Processing 1865-1348 543615 http://zaguan.unizar.es/record/77082/files/texto_completo.pdf Postprint 66669 http://zaguan.unizar.es/record/77082/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:77082 articulos driver 2021-01-21-11:04:25 ARTICLE