A Quantitative and Qualitative Analysis of Schizophrenia Language

Amal Alqahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona Diab


Abstract
Schizophrenia is one of the most disabling mental health conditions to live with. Approximately one percent of the population has schizophrenia which makes it fairly common, and it affects many people and their families. Patients with schizophrenia suffer different symptoms: formal thought disorder (FTD), delusions, and emotional flatness. In this paper, we quantitatively and qualitatively analyze the language of patients with schizophrenia measuring various linguistic features in two modalities: speech and written text. We examine the following features: coherence and cohesion of thoughts, emotions, specificity, level of commit- ted belief (LCB), and personality traits. Our results show that patients with schizophrenia score high in fear and neuroticism compared to healthy controls. In addition, they are more committed to their beliefs, and their writing lacks details. They score lower in most of the linguistic features of cohesion with significant p-values.
Anthology ID:
2022.louhi-1.20
Volume:
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Hybrid)
Venue:
Louhi
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
173–183
Language:
URL:
https://aclanthology.org/2022.louhi-1.20
DOI:
Bibkey:
Cite (ACL):
Amal Alqahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, and Mona Diab. 2022. A Quantitative and Qualitative Analysis of Schizophrenia Language. In Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI), pages 173–183, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
A Quantitative and Qualitative Analysis of Schizophrenia Language (Alqahtani et al., Louhi 2022)
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https://preview.aclanthology.org/ingestion-script-update/2022.louhi-1.20.pdf