- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Explainable depression symptom detection in social media ; volume:12 ; number:1 ; day:6 ; month:9 ; year:2024 ; pages:1-18 ; date:12.2024
Health Information Science and Systems ; 12, Heft 1 (6.9.2024), 1-18, 12.2024
- Urheber
-
Bao, Eliseo
Pérez, Anxo
Parapar, Javier
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13755-024-00303-9
- URN
-
urn:nbn:de:101:1-2411222116425.316873468954
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Bao, Eliseo
- Pérez, Anxo
- Parapar, Javier
- SpringerLink (Online service)
Ähnliche Objekte (12)
Scalable and explainable user role detection in social media
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
A profile-based sentiment-aware approach for depression detection in social media
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach
Social isolation among adolescents and its association with depression symptoms
Work Overload and Addictive Social Media Use: A Relationship with Depression Symptoms and Life Satisfaction
The impact of ICT on social interaction - contributions with a focus on social media and explainable artificial intelligence
Big data analytics on social networks for real-time depression detection
Evaluating explainable social choice-based aggregation strategies for group recommendation
Event detection in high throughput social media
Social Media Profiling for Political Affiliation Detection
Symptom or Culprit? Social Media, Air Pollution, and Violence
Scalable and explainable user role detection in social media
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
A profile-based sentiment-aware approach for depression detection in social media
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach
Social isolation among adolescents and its association with depression symptoms
Work Overload and Addictive Social Media Use: A Relationship with Depression Symptoms and Life Satisfaction
The impact of ICT on social interaction - contributions with a focus on social media and explainable artificial intelligence
Big data analytics on social networks for real-time depression detection
Evaluating explainable social choice-based aggregation strategies for group recommendation
Event detection in high throughput social media
Social Media Profiling for Political Affiliation Detection
Symptom or Culprit? Social Media, Air Pollution, and Violence
Scalable and explainable user role detection in social media
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
A profile-based sentiment-aware approach for depression detection in social media
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach
Social isolation among adolescents and its association with depression symptoms
Work Overload and Addictive Social Media Use: A Relationship with Depression Symptoms and Life Satisfaction
The impact of ICT on social interaction - contributions with a focus on social media and explainable artificial intelligence
Big data analytics on social networks for real-time depression detection
Evaluating explainable social choice-based aggregation strategies for group recommendation
Event detection in high throughput social media
Social Media Profiling for Political Affiliation Detection