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[HTML][HTML] Anomalies in language as a biomarker for schizophrenia
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 …
emerging field of research focused on computational linguistics suggests an important role …
Linguistic findings in persons with schizophrenia—A review of the current literature
Introduction Alterations of verbalized thought occur frequently in psychotic disorders. We
characterize linguistic findings in individuals with schizophrenia based on the current …
characterize linguistic findings in individuals with schizophrenia based on the current …
[HTML][HTML] Speech disturbances in schizophrenia: Assessing cross-linguistic generalizability of NLP automated measures of coherence
Introduction Language disorders–disorganized and incoherent speech in particular-are
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …
Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance
In chronic psychotic patients, word graph analysis shows potential as complementary
psychiatric assessment. This analysis relies mostly on connectedness, a structural feature of …
psychiatric assessment. This analysis relies mostly on connectedness, a structural feature of …
[HTML][HTML] Quantified language connectedness in schizophrenia-spectrum disorders
Abstract Language abnormalities are a core symptom of schizophrenia-spectrum disorders
and could serve as a potential diagnostic marker. Natural language processing enables …
and could serve as a potential diagnostic marker. Natural language processing enables …
Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion
The current global threat brought on by the Covid-19 pandemic has led to widespread social
isolation, posing new challenges in dealing with metal suffering related to social distancing …
isolation, posing new challenges in dealing with metal suffering related to social distancing …
Acoustic speech markers for schizophrenia-spectrum disorders: a diagnostic and symptom-recognition tool
Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …
Computational analysis of linguistic features in speech samples of first-episode bipolar disorder and psychosis
Background In recent years, automated analyses using novel NLP methods have been used
to investigate language abnormalities in schizophrenia. In contrast, only a few studies used …
to investigate language abnormalities in schizophrenia. In contrast, only a few studies used …
Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database
Word embeddings have been extensively studied in large text datasets. However, only a few
studies analyze semantic representations of small corpora, particularly relevant in single …
studies analyze semantic representations of small corpora, particularly relevant in single …
Understanding language abnormalities and associated clinical markers in psychosis: the promise of computational methods
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 …
and motor processes. These language disturbances can be used to identify individuals with …