Characterization of the relationship between semantic and structural language features in psychiatric diagnosis

dc.contributor.author	Mota, Natália
dc.contributor.author	Ribeiro, Sidarta Tollendal Gomes
dc.contributor.author	Copelli, Mauro
dc.contributor.author	Carrillo, Fernando
dc.contributor.author	Slezak, Diego Fernadez
dc.date.accessioned	2017-04-07T15:11:04Z
dc.date.available	2017-04-07T15:11:04Z
dc.date.issued	2017-04
dc.description.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	pt_BR
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/22577
dc.language	eng	pt_BR
dc.publisher	IEEE	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	Graph	pt_BR
dc.subject	Semantics	pt_BR
dc.subject	Schizophrenia	pt_BR
dc.title	Characterization of the relationship between semantic and structural language features in psychiatric diagnosis	pt_BR
dc.type	article	pt_BR