- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
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Benchmarking a large Twitter dataset for Arabic emotion analysis ; volume:5 ; number:8 ; day:29 ; month:7 ; year:2023 ; pages:1-13 ; date:8.2023
SN applied sciences ; 5, Heft 8 (29.7.2023), 1-13, 8.2023
- Urheber
-
El-Sayed, Ahmed
Abougabal, Mohamed
Lazem, Shaimaa
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-023-05437-1
- URN
-
urn:nbn:de:101:1-2023103111362507436649
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
Datenpartner
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Beteiligte
- El-Sayed, Ahmed
- Abougabal, Mohamed
- Lazem, Shaimaa
- SpringerLink (Online service)
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