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

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

Introduction Alterations of verbalized thought occur frequently in psychotic disorders. We
characterize linguistic findings in individuals with schizophrenia based on the current …

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 …

Clinicians and researchers who assess psychopathology are appropriately self-conscious
about their sources of information. Although there is a wide-spread longing for biological …

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 …

Previous works highlighted the relevance of automated language analysis for predicting
diagnosis in schizophrenia, but a deeper language-based data-driven investigation of the …

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 …

The prospect of speech analysis by means of technologies based on natural language
processing (NLP) lies in the anticipated ability of algorithms to hear what humans cannot …