Comparing qualitative thematic analysis and machine-based topic modelling in the analysis of autistic and ADHD young people’s accounts of emotions

Abstract Systematic analysis of interview data can provide important insights into how young people experience and interpret their emotions. Both human-led qualitative (e.g., thematic analysis) and machine-driven quantitative (e.g., natural language processing [NLP]) analytical approaches are availa...

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Principais autores:	Steve Lukito, Lifang Li, Susie Chandler, Myrofora Kakoulidou, Georgia Pavlopoulou, Maciej Matejko, Isabel Jackson, Beta Balwani, Tiegan Boyens, Dorian Poulton, Luke Harvey-Nguyen, Amber Johnson, Daniel Stahl, Angus Roberts, Edmund J. S. Sonuga-Barke, the RE-STAR Team
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-01-01
coleção:	Scientific Reports
Assuntos:	Autism ADHD Reflexive thematic analysis Topic modelling Emotional regulation
Acesso em linha:	https://doi.org/10.1038/s41598-025-34570-7
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