kau.se
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • 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
Semi-automated analysis of municipality social media postings with Artificial Intelligence and discussion on system usability
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
(English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
National Category
Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-80927Local ID: 6OAI: oai:DiVA.org:kau-80927DiVA, id: diva2:1477801
Subject / course
Information Systems
Educational program
Master Programme in Information Systems (120 ECTS credits)
Supervisors
Examiners
Available from: 2025-04-09 Created: 2020-10-20 Last updated: 2026-02-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Karlstad Business School (from 2013)
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 14 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • 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
v. 2.47.0
|
WCAG
|
Karlstad University
|
University Library
|
Researchers support