Increasingly, data-driven methods have been implemented to understand psychopathology.
Language is the main source of information in psychiatry and represents “big data” at the …

Introduction Alterations of verbalized thought occur frequently in psychotic disorders. We
characterize linguistic findings in individuals with schizophrenia based on the current …

Human cognition is underpinned by structured internal representations that encode
relationships between entities in the world (cognitive maps). Clinical features of …

Abstract Language abnormalities are a core symptom of schizophrenia-spectrum disorders
and could serve as a potential diagnostic marker. Natural language processing enables …

Introduction Language disorders–disorganized and incoherent speech in particular-are
distinctive features of schizophrenia. Natural language processing (NLP) offers automated …

Usage of computational tools to quantify language disturbances among individuals with
psychosis is increasing, improving measurement efficiency and access to fine-grained …

Computational semantics, a branch of computational linguistics, involves automated
meaning analysis that relies on how words occur together in natural language. This offers a …

Although most patients who experience a first-episode of psychosis achieve remission of
positive psychotic symptoms, relapse is common. Existing relapse evaluation strategies are …

Semantic verbal fluency (sVF) tasks are commonly used in clinical diagnostic batteries as
well as in a research context. When performing sVF tasks to assess executive functions …

Prior research has identified associations between social media activity and psychiatric
diagnoses; however, diagnoses are rarely clinically confirmed. Toward the goal of applying …