Improving text categorization: A fully automated ontology based approach

Titre	Improving text categorization: A fully automated ontology based approach
Publication Type	Conference Paper
Year of Publication	2013
Authors	Machhour, H, Kassou, I
Conference Name	2013 3rd International Conference on Communications and Information Technology, ICCIT 2013
Abstract	This paper presents an improvement of text categorization models by document annotation with previously imported ontologies. A fully automated algorithm will be introduced to annotate plain text documents. Simple strategies combining annotation results with the categorization models are also presented and experienced. Conducted experiments present an improvement of tested categorization models when mixed with the annotation results. © 2013 IEEE.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883898536&doi=10.1109%2fICCITechnology.2013.6579524&partnerID=40&md5=2216baabb84bdd7324b7ec625a4eba68
DOI	10.1109/ICCITechnology.2013.6579524