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Sentiment Analysis of Social Media Use in Public Transportation in Sweden
Halmstad University, School of Information Technology.ORCID iD: 0000-0001-9194-9446
Malmö University, Malmö, Sweden.
2025 (English)In: Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2 KEOD and KMIS / [ed] Frans Coenen; Lars Nolle; David Aveiro; Jesualdo Tomás Fernández-Breis; Le Gruenwald; Elio Masciari; Jorge Bernardino; Ricardo Torres, Setúbal: SciTePress, 2025, Vol. 2, p. 522-528Conference paper, Published paper (Refereed)
Abstract [en]

The increasing impact of social media on public transportation is transforming communication strategies and user engagement. These platforms offer real-time service updates while allowing users to voice their concerns and suggestions, fostering trust and enhancing customer satisfaction. This research investigates public perceptions of the communication methods used by public transportation services in Sweden, highlighting user preferences for different social media platforms and content types. The study employs a four-step methodology. First, a literature review examines the advantages and challenges of integrating social media into public transportation systems. Next, a survey assesses Swedish users' interactions with social media in this context. The third phase involves sentiment analysis and text mining of the survey responses to evaluate public opinion. Finally, the research proposes potential steps for collecting and analyzing social media data. The findings contribute to a better understanding of effective communication strategies, ultimately improving the responsiveness of public transportation systems.

Place, publisher, year, edition, pages
Setúbal: SciTePress, 2025. Vol. 2, p. 522-528
Series
IC3K, ISSN 2184-3228
Keywords [en]
Public Transportation, Sentiment Analysis, Social Media, Sweden
National Category
Media and Communication Studies Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hh:diva-58045DOI: 10.5220/0013821100004000Scopus ID: 2-s2.0-105023512059ISBN: 9789897587696 (print)OAI: oai:DiVA.org:hh-58045DiVA, id: diva2:2021264
Conference
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Marbella, Spain, October 22-24, 2025
Available from: 2025-12-12 Created: 2025-12-12 Last updated: 2025-12-12Bibliographically approved

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Sarkheyli, Azadeh

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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