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Different approaches to automated classification: is there an exchange of ideas?
Lunds universitet. (Library and Information Science)ORCID iD: 0000-0003-4169-4777
2005 (English)In: Proceedings of ISSI 2005 – the 10th International Conference of the International Society for Scientometrics and Informetrics, Stockholm, Sweden, July 24-28, 2005, Volume 1. / [ed] Peter Ingwersen and Birger Larsen, Stockholm: Karolinska University Press , 2005, 270-274 p.Conference paper, Published paper (Refereed)
Abstract [en]

Automated classification of text has been studied by three major research communities, machine learning, information retrieval, and library science, each taking a different approach. The paper aims to study to what a degree the three communities explore others’ ideas, methods, findings. To that purpose we studied direct links (do authors from one community cite authors from another) and indirect links (using bibliographic coupling). Although the study is based on a small sample of 148 papers, the results indicate that the three communities do not exchange ideas to a great extent.

Place, publisher, year, edition, pages
Stockholm: Karolinska University Press , 2005. 270-274 p.
National Category
Information Studies
Research subject
Humanities, Library and Information Science
Identifiers
URN: urn:nbn:se:lnu:diva-37072Libris ID: 9985358ISBN: 9171403396 (print)OAI: oai:DiVA.org:lnu-37072DiVA: diva2:747762
Conference
Proceedings of ISSI 2005 – the 10th International Conference of the International Society for Scientometrics and Informetrics, Stockholm, Sweden, 24-28 July, 2005
Available from: 2014-09-17 Created: 2014-09-17 Last updated: 2015-09-30Bibliographically approved

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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
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