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Using bag-of-concepts to improve the performance of support vector machines in text categorization
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0001-5100-0535
2004 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as input to a Support Vector Machine classifier, and the results show that there are certain categories for which concept-based representations constitute a viable supplement to word-based ones. We also demonstrate how the performance of the Support Vector Machine can be improved by combining representations.

Place, publisher, year, edition, pages
2004, 7.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-23849OAI: oai:DiVA.org:ri-23849DiVA, id: diva2:1042927
Conference
The 20th international conference on Computational Linguistics (COLING'04)
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-08-21Bibliographically approved

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fulltext(229 kB)194 downloads
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eb32013357e94bd8fa067b13c037bba96774a7207261ea5af3fa4f24519682eaa7bb39b4be42d811647af89312b52301f5e0dd10a35f042ddbf8eae4c20003ac
Type fulltextMimetype application/pdf

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Sahlgren, Magnus

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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