NLP & LLMs

Acute suicidal ideation in context: Highlighting sentiment-based markers through the diary entries of a clinically depressed sample
Given the demonstrated utility of smartphone-based EMA and NLP-based applications in mental health and suicide research, as well as a demonstrated need to develop more temporally sensitive models of acute suicidal ideation (SI), the current work aimed to apply a sentiment analysis approach to explore how language reflected in diary entries is tied to acute changes in self-report SI severity.
Acute suicidal ideation in context: Highlighting sentiment-based markers through the diary entries of a clinically depressed sample
ChatGPT as Therapy: A statistical and network-based thematic profiling of shared experiences, attitudes, and beliefs on Reddit
Large language models (LLMs), including ChatGPT have exponentially grown in their utility over the past few years. For example, LLMs have frequently been endorsed as a suitable alternative or adjunct for traditional therapies for persons who experience mental health problems and are seeking help.
ChatGPT as Therapy: A statistical and network-based thematic profiling of shared experiences, attitudes, and beliefs on Reddit
Automatic descriptive classification of self-reported traumatic experiences: A primer and example in applying a pretrained large language model to study psychological phenomenology.
A large cohort of N=1,473 individuals recruited through Google Ads for pre-screening as part of a larger study on major depressive disorder (MDD) is being used. Written responses to an open-ended prompt regarding the worst event experienced are descriptively classified via a novel 31-item inventory which allows for structured qualitative coding.
Automatic descriptive classification of self-reported traumatic experiences: A primer and example in applying a pretrained large language model to study psychological phenomenology.