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Found 5 papers, 0 papers with code
Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data
Here, we demonstrate that natural language processing applied to publicly-available social media data can provide real-time estimates of psychological distress in the population (specifically, English-speaking Twitter users in the US).
Individual Differences in the Movement-Mood Relationship in Digital Life Data
We describe these individual differences, and argue that individual variability in the relationship between movement and mood is one of many such factors that ought be taken into account in wellbeing-focused apps and AI systems.
DLATK: Differential Language Analysis ToolKit
We present Differential Language Analysis Toolkit (DLATK), an open-source python package and command-line tool developed for conducting social-scientific language analyses.
Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language
Many psychological phenomena occur in small time windows, measured in minutes or hours.
In your wildest dreams: the language and psychological features of dreams
In this paper, we provide the first quantified exploration of the structure of the language of dreams, their linguistic style and emotional content.
