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Evaluating the use of Learning Algorithms in Categorization of Text

We have tested this by developing a small prototype that used thecorpora of labeled documents with some different learning algorithmsto see if the results would be satisfactory. We conclude that while thesystem would indeed make it easier for someone to classify unlabeleddocuments, it can not work totally autonomously based on the rela-tively small amount of documents and large amount of categories thatare in the ontology.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ntnu-18420
Date January 2012
CreatorsSørensen, Alf Simen Nygaard
PublisherNorges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, Institutt for datateknikk og informasjonsvitenskap
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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