Natural language processing in mental health

MIT researchers score suicide risk in 16,000 crisis chats with a 49-factor word list

MIT researchers report that a lexicon of 49 suicide risk factors accurately predicted risk levels in about 16,000 Crisis Text Line chats. Each match traces to a named factor, so the scores can be audited, but they were checked against the crisis line's own ratings and still need clinical validation.