Yayın:
EFFECTS OF TEXT REPRESENTATION METHODS IN SEMANTIC SPACE ON CLASSIFYING PERFORMANCE

Basit öğe sayfası
dc.contributor.authorAmasyali, M. Fatih
dc.contributor.authorCetin, Mahmut
dc.contributor.authorAkbulut, Cenk
dc.contributor.institutionauthorAMASYALI, Mehmet Fatih
dc.date.accessioned2026-06-27T13:19:34Z
dc.date.issued2013
dc.description.abstractThe most discussed issue about classification of texts is how to represent them. Words, stem words, character ngrams and semantic spaces are the common methods. In this research latent semantic indexing and semantic space based on co-occurrence matrix methods are compared with other methods on 30 classed data set. According to other methods the semantic space based on co-occurrence matrix method performs higher success. In addition, performance success of this method does not decrease as much as other methods while number of classes increased.en
dc.identifier.eissn1304-7191
dc.identifier.endpage14
dc.identifier.issn1304-7205
dc.identifier.issue1
dc.identifier.startpage8
dc.identifier.urihttps://hdl.handle.net/20.500.14981/51844
dc.identifier.volume5
dc.identifier.wos000219696800002
dc.language.isotur
dc.publisherYILDIZ TECHNICAL UNIV
dc.relation.ispartofSIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
dc.subjectText classification
dc.subjecttext categorization
dc.subjectsemantic space
dc.subjectEngineering
dc.titleEFFECTS OF TEXT REPRESENTATION METHODS IN SEMANTIC SPACE ON CLASSIFYING PERFORMANCE
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar

Yayınlar