Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2198-0802
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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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
- Urheber
- Beteiligte Personen und Organisationen
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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
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:33 MESZ
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Beteiligte
- Kim, Hyojung
- Cho, Inho
- Park, Minjung
- SpringerLink (Online service)
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