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Automatic subject indexing and evaluation: an introduction: Invited speech for KO-ED Theoretical Perspectives Webinars by ISKO UK, 11 February 2021
Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences. (Library and Information Science)ORCID iD: 0000-0003-4169-4777
2021 (English)Other (Other academic)
Abstract [en]

In this talk Koraljka Golub introduced basic principles of automating the process of subject classification and indexing, with a focus on text. Different approaches such as text categorization, document clustering and document classification were presented, compared for purposes of application, with most basic principles of automation introduced without going into advanced computational detail. Complexities of evaluation were also addressed.

The talk was largely based on the following open access encyclopedia article: Golub, Koraljka. 2019. "Automatic subject indexing of text". Knowledge Organization 46, no. 2: 104-121. Also available in ISKO Encyclopedia of Knowledge Organization, eds. Birger Hjørland and Claudio Gnoli, http://www.isko.org/cyclo/automatic.

The class was delivered via Zoom and was attended by 88 participants from 33 countries. Presentation slides are available to all participants via the KO-ED forum on the ISKO UK website.

Place, publisher, year, pages
2021.
National Category
Information Studies
Research subject
Humanities, Library and Information Science
Identifiers
URN: urn:nbn:se:lnu:diva-101177OAI: oai:DiVA.org:lnu-101177DiVA, id: diva2:1527813
Available from: 2021-02-12 Created: 2021-02-12 Last updated: 2023-01-25Bibliographically approved

Open Access in DiVA

Presentation(3140 kB)257 downloads
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Type attachmentMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
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