Quantifying incoherence in speech: an automated methodology and novel application to schizophrenia.

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Automated analysis of free speech predicts psychosis onset in high-risk youths (2015, methodology): “13 On the basis of earlier ﬁ ndings in schizophrenia, 3,9,14 in which automated text analyses yielded parameters that accurately discriminated between patients and controls, we hypothesized that automated semantic and syntactic analysis of baseline interview transcripts would yield speech features…”
Neural Net Models for Open-Domain Discourse Coherence (2016, background): “, 2007), and even applications like psychiatric diagnosis (Elvevåg et al., 2007; Bedi et al., 2015).”
The dimensionality of discourse (2010, background): “Such amodel is implicitly assumed in applications of LSA to the testing of textual coherence (8) and to textual assessment of patients for mental illnesses such as schizophrenia (27).”
Prediction of psychosis across protocols and risk cohorts using automated language analysis (2018, background): “Latent semantic analysis has been applied to speech in schizophrenia, ﬁnding an association of decreased semantic coherence with clinical ratings of thought disorder and functional impairment, and with abnormal task-related activation in language circuits 11,12 .”