Simryn Molina

Abstract Adolescent suicide rates have risen over the past two decades, underscoring the need for improved risk detection strategies. Although natural language processing (NLP) tools are increasingly used to flag suicide-related content, little is known about how such approaches perform on adolescents’ smartphone communications. Addressing this gap, this study leverages passively collected smartphone data to identify suicide-related language in adolescents’ keyboard usage via NLP.

~shiiiiivvvvvvvver me timbers~ As someone who gets scared by the most ordinary things and is chronically dramatic, I thought it would be a lovely idea to share some of my scary experiences at Columbia. Grab your Trader Joe’s mini pumpkins and Target Halloween decor because things are about to get spooky.