This study used a semi-automated multidimensional linguistic analysis combined with a machine-driven clustering technique to characterize the speech of 67 individuals with schizophrenia. Two subgroups with distinctive linguistic profiles were identified: one with higher fluency and lower lexical variety but greater use of psychological lexicon; the other with reduced fluency, greater lexical variety but reduced psychological lexicon. The former cluster was associated with lower symptoms and better quality of life, highlighting the importance of considering language disturbances in schizophrenia as multifaceted and approaching them in automated and data-driven ways.
