Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2198-0802
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling ; volume:9 ; number:1 ; day:5 ; month:3 ; year:2022 ; pages:1-21 ; date:12.2022
Fashion and Textiles ; 9, Heft 1 (5.3.2022), 1-21, 12.2022
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40691-021-00281-6
- URN
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urn:nbn:de:101:1-2022051507094848637347
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kim, Hyojung
- Cho, Inho
- Park, Minjung
- SpringerLink (Online service)
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