Automated extraction of quantitative linguistic features has the potential to predict objectively
the onset and progression of psychosis. These linguistic variables are often considered to …

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 …

Abstract Background and Hypothesis Speech markers are digitally acquired,
computationally derived, quantifiable set of measures that reflect the state of neurocognitive …

Language disturbances are a key feature of schizophrenia. Although in its early stages, the
emerging field of research focused on computational linguistics suggests an important role …

Human ratings of conceptual disorganization, poverty of content, referential cohesion and
illogical thinking have been shown to predict psychosis onset in prospective clinical high risk …

Language and speech are the primary source of data for psychiatrists to diagnose and treat
mental disorders. In psychosis, the very structure of language can be disturbed, including …

This workshop summary on natural language processing (NLP) markers for psychosis and
other psychiatric disorders presents some of the clinical and research issues that NLP …

We found the recent paper by Bedi et al. 1 simultaneously exciting, heartening and, sadly, a
bit discouraging. It shows that modern, statistical natural language processing (NLP) and …

Automated language analysis of speech has been shown to distinguish healthy control (HC)
vs chronic schizophrenia (SZ) groups, yet the predictive power on first-episode psychosis …

Objective Measurement‐based care tools in psychiatry are useful for symptom monitoring
and detecting response to treatment, but methods for quick and objective measurement are …