Characterization of the relationship between semantic and structural language features in psychiatric diagnosis
Psychiatry describes speech symptoms that are indicative of disorganized thought, but measuring them is not easy. With natural language processing tools, it is possible to quantify psychiatric symptoms. Graph representations of word trajectories and semantic incoherence have independently bee...
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| Principais autores: | , , , , |
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
IEEE
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/22577 |
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| Resumo: | Psychiatry describes speech symptoms that
are indicative of disorganized thought, but
measuring them is not easy. With natural
language processing tools, it is possible to
quantify psychiatric symptoms. Graph
representations of word trajectories and
semantic incoherence have independently
been shown to predict the Schizophrenia
diagnosis. Both analyses assess thought
organization through speech, but the
relationship between them is unknown. To
fill this gap, here we characterize the
relationship between structural and semantic
features of free verbal reports from 60
patients and matched controls. Graph
connectedness is inversely correlated to
semantic incoherence and both explain 54%
of negative symptoms variance |
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