This is a reshare of a 2020 talk I did with psychology researcher Neguine Rezaii. We talk about her research using machine learning to find patterns in language used by teenagers who were at risk of schizophrenia that were correlated with later schizophrenia diagnosis. The two language patterns found in the subjects’ speech were 1) a low semantic density (i.e., low degree of meaning), and 2) speech related to sound or voices.
Episode links:
- iTunes (embedded below)
- Spotify
- Google Play