Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis.

ABSTRACT:

Background

Impairments in speech production are a core symptom of non-affective psychosis (NAP). While traditional clinical ratings of patients' speech involve a subjective human factor, modern methods of natural language processing (NLP) promise an automatic and objective way of analyzing patients' speech. This study aimed to validate NLP methods for analyzing speech production in NAP patients.

Methods

Speech samples from patients with a diagnosis of schizophrenia or schizoaffective disorder were obtained at two measurement points, 6 months apart. Out of N = 71 patients at T₁, speech samples were also available for N = 54 patients at T₂. Global and local models of semantic coherence as well as different word embeddings (word2vec vs. GloVe

SUBMITTER: Just SA 

PROVIDER: S-EPMC10411549 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature