Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter : Machine Learning Approach
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Journal of Medical Internet Research ; 24 (2022), 8. - e34705. - International Committee of Medical Journal Editors. - ISSN 1439-4456. - eISSN 1438-8871
- Klassifikation
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Soziale Probleme, Sozialdienste, Versicherungen
- Ereignis
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Veröffentlichung
- (wo)
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Konstanz
- (wer)
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KOPS Universität Konstanz
- (wann)
-
2022
- Urheber
- URN
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urn:nbn:de:bsz:352-2-1rphbc597ilgk9
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:00 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Metzler, Hannah
- Baginski, Hubert
- Niederkrotenthaler, Thomas
- Garcia, David
- KOPS Universität Konstanz
Entstanden
- 2022
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