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Automatic identification of topics: An overview of approaches and applications
Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences. (Library and Information Science)ORCID iD: 0000-0003-4169-4777
2020 (English)Other (Other academic)
Place, publisher, year, pages
Växjö: Linnaeus University , 2020.
National Category
Information Studies
Research subject
Humanities, Library and Information Science
Identifiers
URN: urn:nbn:se:lnu:diva-93191OAI: oai:DiVA.org:lnu-93191DiVA, id: diva2:1417675
Conference
Internal FKH conference on Digital Humanities, 12-13 March 2020
Note

Presentation from a Linnaeus University, Faculty of Arts and Humanities internal conference on Digital Humanities, 12-13 March 2020

Available from: 2020-03-30 Created: 2020-03-30 Last updated: 2020-03-30Bibliographically approved

Open Access in DiVA

presentation(11851 kB)196 downloads
File information
File name FULLTEXT01.pdfFile size 11851 kBChecksum SHA-512
4396a8c5e5cd4dfc42b81998efa9ce410af57ab0ed0b8c30c357bf3b470a85c09bc43508559634095c6a13e85b38a642efca44dc3b046775d5ab0c30966c1f66
Type attachmentMimetype application/pdf

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Golub, Koraljka

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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