Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach. (arXiv:2209.02765v3 [cs.CL] UPDATED)

A fundamental component of user-level social media language based clinical
depression modelling is depression symptoms detection (DSD). Unfortunately,
there does not exist any DSD dataset that reflects both the clinical insights
and the distribution of depression symptoms from the samples of self-disclosed
depressed population. In our work, we describe a Semi-supervised Learning (SSL)
framework which uses an initial supervised learning model that leverages 1) a
state-of-the-art large mental health forum text pre-trained language model
further fine-tuned on a clinician annotated …

arxiv media modelling semi-supervised semi-supervised learning social social media supervised learning text