In this paper, we present a multi-stage text classification system for assessing psychological status of individuals based on their text postings on online web forums.
our system combines state-of-the-art NLP and machine learning techniques to: (1) extract fine-grained psychological distress indicators/labels derived from Diagnostic and Statistical Manual of Mental Disorders (DSM) IV (American Psychiatric Association, 2000), and (2) assesses the severity of distress that can be used to triage individuals who should seek clinical help.