M.I.N.I.-KID interviews with adolescents: a corpus-based language analysis of adolescents with depressive disorders and the possibilities of continuation using Chat GPT
The results indicate that identifying linguistic patterns in adolescents' transcribed verbal responses is promising and that Chat GPT can be leveraged to generate a large dataset of interviews. The main benefit is that without any loss of validity the synthetic data are significantly easier to obtain than interview transcripts.
Authors
- Angelika Ecker (ORCID: https://orcid.org/0000-0002-4387-0634)
- Romuald Brunner (ORCID: https://orcid.org/0000-0001-7815-0699)
- Daniel Schleicher (ORCID: https://orcid.org/0000-0002-4518-3512)
- Bernd Ludwig (ORCID: https://orcid.org/0000-0003-3599-2081)
- Stephanie Kandsperger (ORCID: https://orcid.org/0000-0003-3925-7615)
- Irina Jarvers (ORCID: https://orcid.org/0000-0002-8414-2895)
- Pia Donabauer
- Katharina Kampa
- Maximilian Weißenbacher
Institutions
- University of Regensburg (DE)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2024-12-19
- DOI
- https://doi.org/10.3389/fpsyt.2024.1425820
- Citations
- 3
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- Universität Regensburg