Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era ; volume:10 ; number:1 ; day:6 ; month:11 ; year:2023 ; pages:1-17 ; date:12.2023
Journal of electrical systems and information technology ; 10, Heft 1 (6.11.2023), 1-17, 12.2023
- Urheber
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Akande, Oluwatobi Noah
Lawrence, Morolake Oladayo
Ogedebe, Peter
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s43067-023-00118-w
- URN
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urn:nbn:de:101:1-2024012309243004712831
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:40 MESZ
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Beteiligte
- Akande, Oluwatobi Noah
- Lawrence, Morolake Oladayo
- Ogedebe, Peter
- SpringerLink (Online service)
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