Estimating time-series changes in social sentiment Twitter in U.S. metropolises during the COVID-19 pandemic
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2432-2725
- 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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Estimating time-series changes in social sentiment Twitter in U.S. metropolises during the COVID-19 pandemic ; day:12 ; month:11 ; year:2022 ; pages:1-30
Journal of computational social science ; (12.11.2022), 1-30
- Klassifikation
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Wirtschaft
- Urheber
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Saito, Ryuichi
Haruyama, Shinichiro
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s42001-022-00186-4
- URN
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urn:nbn:de:101:1-2023012621041918816869
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
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Beteiligte
- Saito, Ryuichi
- Haruyama, Shinichiro
- SpringerLink (Online service)
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