logo
Loading...
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
Psychologynpj Digital Medicine

Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing

S. Hornstein, J. Scharfenberger, et al.

This study by Silvan Hornstein, Jonas Scharfenberger, Ulrike Lueken, Richard Wundrack, and Kevin Hilbert explores how Natural Language Processing can predict recurrent chat contacts in a German youth crisis service. With an XGBoost classifier achieving an AUROC of 0.68, the research reveals intriguing insights into the demographics and conditions associated with recontact, highlighting NLP's potential for tailored care in chat-based hotlines.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny