AraTSum: Arabic Twitter Trend Summarization Using Topic Analysis and Extractive Algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
AraTSum: Arabic Twitter Trend Summarization Using Topic Analysis and Extractive Algorithms ; volume:17 ; number:1 ; day:2 ; month:9 ; year:2024 ; pages:1-18 ; date:12.2024
International journal of computational intelligence systems ; 17, Heft 1 (2.9.2024), 1-18, 12.2024
- Urheber
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Monir, Enas
Salah, Ahmad
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44196-024-00546-0
- URN
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urn:nbn:de:101:1-2411180033173.290106273819
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:22 MESZ
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Beteiligte
- Monir, Enas
- Salah, Ahmad
- SpringerLink (Online service)
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