Acute suicidal ideation in context: Highlighting sentiment-based markers through the diary entries of a clinically depressed sample
Significant group differences in negative sentiment between acute SI phase traectories
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.
Damien Lekkas
Data Scientist in Digital Mental Health
Research and development at the crossroads of mental health and technology. I use quantitative methods and AI to better understand psychopathology and behavior.