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Improving Document Classification Effectiveness Using Knowledge Exploited by Ontologies
2017 (English)In: Natural Language Processing and Information Systems, Springer International Publishing , 2017, p. 435-438Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a new document classification model which utilizes background knowledge gathered by ontologies for document representation. A document is represented using a set of ontology concepts that are acquired by exact matching technique and through identification and extraction of new terms which can be semantically related to these concepts. In addition, a new concept weighting scheme composed of concept relevance and importance is employed by the model to compute weight of concepts. We conducted experiments to test the model and the obtained results showed that a considerable improvement of classification performance is achieved by using our proposed model.

Place, publisher, year, edition, pages
Springer International Publishing , 2017. p. 435-438
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-89061OAI: oai:DiVA.org:lnu-89061DiVA, id: diva2:1350244
Conference
22nd International Conference on Natural Language & Information Systems
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-11

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Kastrati, Zenun
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf