Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-1413
- 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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Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media ; volume:25 ; number:1 ; day:28 ; month:1 ; year:2022 ; pages:281-304 ; date:1.2022
World wide web ; 25, Heft 1 (28.1.2022), 281-304, 1.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s11280-021-00992-2
- URN
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urn:nbn:de:101:1-2022052206535456831669
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:34 MESZ
Datenpartner
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Beteiligte
- Zogan, Hamad
- Razzak, Imran
- Wang, Xianzhi
- Jameel, Shoaib
- Xu, Guandong
- SpringerLink (Online service)
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