Evaluating the use of Learning Algorithms in Categorization of Text

dc.contributor.advisor	Aalberg, Trond	nb_NO
dc.contributor.author	Sørensen, Alf Simen Nygaard	nb_NO
dc.date.accessioned	2014-12-19T13:38:46Z
dc.date.available	2014-12-19T13:38:46Z
dc.date.created	2012-11-08	nb_NO
dc.date.issued	2012	nb_NO
dc.identifier	565914	nb_NO
dc.identifier	ntnudaim:5887	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/252922
dc.description.abstract	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.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for datateknikk og informasjonsvitenskap	nb_NO
dc.subject	ntnudaim:5887	no_NO
dc.subject	MIT informatikk	no_NO
dc.subject	Informasjonsforvaltning	no_NO
dc.title	Evaluating the use of Learning Algorithms in Categorization of Text	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	79	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap	nb_NO