AI framework for DRIVE model based mental health detection in text: a case study on how coping strategies are expressed during COVID-19

The article defined a framework for a MH detector based on the DRIVE model. It highlighted the resilience and adaptive responses of individuals in times of crisis. It also focused on coping and identified physical, emotional, and social support and positive reframing as major positive strategies; and the spread of false information and loss of social support as negative coping strategies. The applied coping classification models showed reliable performance in distinguishing between positive and negative coping categories.