Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics. (arXiv:2211.07932v1 [cs.CL])

Stressors are related to depression, but this relationship is complex. We
investigate the relationship between open-ended text responses about stressors
and depressive symptoms across gender and racial/ethnic groups. First, we use
topic models and other NLP tools to find thematic and vocabulary differences
when reporting stressors across demographic groups. We train language models
using self-reported stressors to predict depressive symptoms, finding a
relationship between stressors and depression. Finally, we find that
differences in stressors translate to downstream performance differences across …

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