Introduction Language disorders–disorganized and incoherent speech in particular-are
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …

The language and speech of individuals with psychosis reflect their impairments in cognition
and motor processes. These language disturbances can be used to identify individuals with …

Proxy-based methods for annotating mental health status in social media have grown
popular in computational research due to their ability to gather large training samples …

Computational methods are a promising approach for the study, assessment, and treatment
of mental illness. 1–4 Natural language processing, automatic speech recognition, and …

Background Impairments in speech production are a core symptom of non-affective
psychosis (NAP). While traditional clinical ratings of patients' speech involve a subjective …

Background Computational linguistic methodology allows quantification of speech
abnormalities in non-affective psychosis. For this patient group, incoherent speech has long …

Background Incoherent speech is a core diagnostic symptom of schizophrenia-spectrum
disorders (SSD) that can be studied using semantic space models. Since linguistic …

Abstract Thought disorder–linguistic disturbances including incoherence and derailment of
topic–is seen in individuals both with and at risk for psychosis. Methods from computational …

Speech in psychosis has long been ascribed as involving 'loosening of associations'. We
pursued the aim to elucidate its underlying cognitive mechanisms by analysing picture …

The extraction of linguistic markers from social media posts, which are indicative of the onset
and course of mental disorders, offers great potential for mental healthcare. In the present …