Affective computing is the study of how machines detect, interpret and respond to human emotion. It is the focus of the research at Torven Labs, led by Alejandro De León Languré: reading affective and mental-health signals in text, and applying NLP to the social phenomena where language reveals how people actually feel. Every publication listed below is the lab's own work.
Detecting depression and suicidal ideation from how people write online.
Modeling public discourse: sentiment, style and prediction at population scale.
Machine translation that preserves sensitive, affective meaning across languages.