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arXiv · 1904.07953

Semantic Characteristics of Schizophrenic Speech

Kfir Bar·Vered Zilberstein·Ido Ziv·Heli Baram·Nachum Dershowitz·Samuel Itzikowitz·Eiran Vadim Harel
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Abstract

Natural language processing tools are used to automatically detect disturbances in transcribed speech of schizophrenia inpatients who speak Hebrew. We measure topic mutation over time and show that controls maintain more cohesive speech than inpatients. We also examine differences in how inpatients and controls use adjectives and adverbs to describe content words and show that the ones used by controls are more common than the those of inpatients. We provide experimental results and show their potential for automatically detecting schizophrenia in patients by means only of their speech patterns.

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Kfir Bar, Vered Zilberstein, Ido Ziv, Heli Baram, Nachum Dershowitz, Samuel Itzikowitz, Eiran Vadim Harel. 2019-04-16. Semantic Characteristics of Schizophrenic Speech. https://arxiv.org/abs/1904.07953

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