Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sample

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Damien Lekkas, Amanda C. Collins, Michael V. Heinz, Tess Z Griffin, Arvind Pillai, Subigya K. Nepal, Daniel M. Mackin, Andrew T. Campbell, Nicholas C. Jacobson

Published: 01 Jul 2025, Last Modified: 12 Mar 2026BMC PsychiatryEveryoneRevisionsCC BY-SA 4.0
Abstract: Despite major strides in conceptualizing and modeling the multifaceted nature of suicidal thought and behavior (STB) over the past few decades, the overall predictability of STB has not improved. This may be partly due to the dynamic nature of suicidal ideation (SI), which often fluctuates over hours, yet is largely overlooked in studies. Bolstered by the application and promise of natural language processing (NLP) across the mental health field, efforts toward richer operationalization of acute SI may include analyses on written data that occur alongside changes in SI, thus offering a better understanding of STB as it unfolds.