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 been shown...
| Authors: | , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2017 |
| Country: | Brasil |
| Institution: | Universidade Federal do Rio Grande do Norte (UFRN) |
| Repository: | Repositório Institucional da UFRN |
| Language: | English |
| OAI Identifier: | oai:repositorio.ufrn.br:123456789/22577 |
| Online Access: | https://repositorio.ufrn.br/jspui/handle/123456789/22577 |
| Access Level: | Open access |
| Keyword: | Graph Semantics Schizophrenia |
| Summary: | 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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