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

MOTA, N.B.; CARRILLO, F.; SLEZAK, D.F.; COPELLI, M.; RIBEIRO, S.

Conference Record - Asilomar Conference on Signals, Systems and Computers

IEEE Computer Society

Año: 2017 p. 836 - 838

1058-6393

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.