logo
ResearchBunny Logo
Abstract
This paper investigates the communicative-pragmatic features that best discriminate between individuals with schizophrenia and healthy controls using a multimodal assessment and a machine learning approach. A Decision Tree model achieved 82% accuracy, 76% sensitivity, and 91% precision in classifying participants. Linguistic irony emerged as the most significant feature, followed by violations of Gricean maxims and extralinguistic deceitful/sincere acts. The findings are discussed in relation to pragmatic theory and their clinical implications for assessment and rehabilitation.
Publisher
npj Schizophrenia
Published On
May 24, 2021
Authors
Alberto Parola, Ilaria Gabbatore, Laura Berardinelli, Rogerio Salvini, Francesca M. Bosco
Tags
schizophrenia
machine learning
communicative features
pragmatics
linguistic irony
Gricean maxims
clinical implications

Related Publications

Explore these studies to deepen your understanding of the subject.

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease
Medicine and Health

A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease

C. Wang, H. Tachimori, et al.

Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory
Chemistry

Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory

Y. Wu, C. Wang, et al.

Developing a BOPPPS (Bridge-in, Objectives, Pre-assessment, Participatory Learning, Post-assessment and Summary) model combined with the OBE (Outcome Based Education) concept to improve the teaching outcomes of higher education
Education

Developing a BOPPPS (Bridge-in, Objectives, Pre-assessment, Participatory Learning, Post-assessment and Summary) model combined with the OBE (Outcome Based Education) concept to improve the teaching outcomes of higher education

Z. Xu, L. Ge, et al.

Exploring the mechanism of path-creating strategy for latecomers: a combined approach of econometrics and causal machine learning
Business

Exploring the mechanism of path-creating strategy for latecomers: a combined approach of econometrics and causal machine learning

Y. Teng, Y. Li, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny