Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2192-6395
- 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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Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence ; volume:11 ; number:3 ; day:26 ; month:5 ; year:2020 ; pages:378-393 ; date:6.2020
International journal of disaster risk science ; 11, Heft 3 (26.5.2020), 378-393, 6.2020
- Creator
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Farnaghi, Mahdi
Ghaemi, Zeinab
Mansourian, Ali
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s13753-020-00280-z
- URN
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urn:nbn:de:101:1-2020081320105835918005
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
Data provider
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Associated
- Farnaghi, Mahdi
- Ghaemi, Zeinab
- Mansourian, Ali
- SpringerLink (Online service)
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