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A Quantitative and Qualitative Analysis of Schizophrenia Language

arXiv 2201.10430 ↗First posted 25 Jan 2022cs.CLcited by 1

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Abstract (arXiv)

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 committed 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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 56 references that are in the map. First posted on arXiv 25 Jan 2022.

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References · 3

  1. 2020Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensemblescited by 20
  2. 2018Domain Agnostic Real-Valued Specificity Predictioncited by 10
  3. 2018Predictive Linguistic Features of Schizophreniacited by 5

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