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Classification of Geometry Related End Customer Claims at the Volvo GTO Umeå Plant Using Natural Language Processing
Umeå University, Faculty of Science and Technology, Department of Physics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-160224OAI: oai:DiVA.org:umu-160224DiVA, id: diva2:1325191
External cooperation
Volvo GTO
Educational program
Master of Science Programme in Engineering Physics
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Examiners
Available from: 2019-06-17 Created: 2019-06-14 Last updated: 2019-06-17Bibliographically approved

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fulltext(3739 kB)18 downloads
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File name FULLTEXT01.pdfFile size 3739 kBChecksum SHA-512
eab02f4e51991e3e13a16838f4c6c20577f115b571bfae6e8593695c6a946962d1c0b2b539e76248be64e7e77da760c91ea748d2605e7e573848d608706ea970
Type fulltextMimetype application/pdf

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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
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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