StressCovidV1, 2020, Analysis, bibRecord, 000001

Psycholinguistics and Mental Health : from Assessment to Prevention

Identifieur interne : 000001 ( 2020/Analysis ); précédent : 000000; suivant : 000002

Psycholinguistics and Mental Health : from Assessment to Prevention

Auteurs : Mathieu Guidère [France]

Source :

RBID : Hal:inserm-02520011

Descripteurs français

mix :
- Intelligence artificielle -- Logiciels, Psycholinguistics, Psycholinguistique, Psychotraumatisme, Santé mentale secteur psychiatrique, artificial intelligence, mental health, pandemic, prédictive, psychotrauma, épidémiologie.
Wicri :
- topic : épidémiologie.

English descriptors

mix :
- Psycholinguistics, artificial intelligence, mental health, pandemic, predictive, psychotrauma.

Abstract

The psycholinguistic analysis of the verbalizations of people suffering from mental health disorders (stress, anxiety, depression, suicidal ideation, etc.) now benefits from the contributions of predictive linguistics and from the techniques of machine learning in artificial intelligence. It thus allows patients' words to be taken into account in a more systematic and rigorous manner, in order to prevent illnesses and to improve care. Advances in this type of semi-automated analysis augur well for diagnosis aid systems in psychiatry and clinical psychology, as well as automated mental health monitoring systems. This article presents an overview of the foundations of this innovative methodology, with a practical application aimed at the assessment and analysis of psychotrauma following a pandemic.

Url:

https://www.hal.inserm.fr/inserm-02520011

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000121
to stream Hal, to step Curation: 000121
to stream Hal, to step Checkpoint: 000001
to stream Main, to step Merge: 000001
to stream Main, to step Curation: 000001
to stream Main, to step Exploration: 000001
to stream 2020, to step Extraction: 000001

Links to Exploration step

Hal:inserm-02520011

Le document en format XML

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<front><div type="abstract" xml:lang="en">              <p>The psycholinguistic analysis of the verbalizations of people suffering from mental health disorders (stress, anxiety, depression, suicidal ideation, etc.) now benefits from the contributions of predictive linguistics and from the techniques of machine learning in artificial intelligence. It thus allows patients' words to be taken into account in a more systematic and rigorous manner, in order to prevent illnesses and to improve care. Advances in this type of semi-automated analysis augur well for diagnosis aid systems in psychiatry and clinical psychology, as well as automated mental health monitoring systems. This article presents an overview of the foundations of this innovative methodology, with a practical application aimed at the assessment and analysis of psychotrauma following a pandemic.</p>
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   |clé=     Hal:inserm-02520011
   |texte=   Psycholinguistics and Mental Health : from Assessment to Prevention
}}

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Psycholinguistics and Mental Health : from Assessment to Prevention

Psycholinguistics and Mental Health : from Assessment to Prevention

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri