ArticleJournal of psychopathology and clinical science2026
Using natural language processing to track negative emotions in the daily lives of adolescents.
Article in Journal of psychopathology and clinical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Fine-tuning large language models for detecting negative self-referential language in smartphone text among youth with depression.Journal of psychopathology and clinical science · 2026Article
- Scalable, context-sensitive psychiatric assessment with large language models and brief diaries.Psychological medicine · 2026Article
- Using natural language processing to track negative emotions in the daily lives of adolescents.Journal of psychopathology and clinical science · 2026Article
- Behavioral and computational perspectives on emotion regulation and subjective wellbeing: an integrative review with a focus on adolescents.Frontiers in psychology · 2026Review
- Measuring activation during behavioral activation therapy: a proof-of-concept study using smartphone sensors and LLM-derived ratings in adolescents with anhedonia.NPP - digital psychiatry and neuroscience · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Tracking emotion fluctuations in adolescents' daily lives is important for understanding mood dynamics and identifying early markers of affective disorders. This study examines whether natural language processing (NLP) methods, including large language models (LLMs), can approximate adolescents' concurrent self-reported negative affect from ecological momentary assessment narratives. We compared nomothetic (group-level) and idiographic (individualized) models as well as different NLP techniques for capturing within-person emotion fluctuations. Ecological momentary assessment text responses from 97 adolescents (ages 14-18, 77.3% female, 22.7% male,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.