Novel application of deep learning to evaluate conversations from a mental health text support service
The Shout text support service supports individuals experiencing mental health distress through anonymous text conversations. As one of the first research projects on the Shout dataset and one of the first significant attempts to apply advanced deep learning to a text messaging service, this project...
Saved in:
| Main Authors: | Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Natural Language Processing Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949719124000670 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Faire parler l’apprenant en langue étrangère : le « schéma producteur de parole » en conversation didactique
by: Laura Nicolas
Published: (2015-06-01) -
Evaluating the Effects of the Conversation Media on the Representation Elements of Architectural Design for Improving User Participation
by: Ahmad Saleh
Published: (2018-01-01) -
Impact of temporary conversion on the community: Categorisation and current case studies from Europe
by: Ing. arch. Karolína Bujdáková, et al.
Published: (2024-12-01) -
A qualitative exploration of service users' experiences of weight management conversations in a mental health setting
by: Emma Kemp, et al.
Published: (2025-06-01) -
Upscaling of thermoacoustic-Stirling duplex cryocoolers based on resonance tube coupling
by: Liping Wei, et al.
Published: (2025-09-01)