Text-based detection of the risk of depression

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015447" target="_blank" >RIV/62690094:18450/19:50015447 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60076658:12410/19:43899692 RIV/00216224:14210/19:00109506

Výsledek na webu

<a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00513/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00513/full</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fpsyg.2019.00513" target="_blank" >10.3389/fpsyg.2019.00513</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Text-based detection of the risk of depression

Popis výsledku v původním jazyce

This study examines the relationship between language use and psychological characteristics of the communicator. The aim of the study was to find models predicting the depressivity of the writer based on the computational linguistic markers of his/her written text. Respondents&apos; linguistic fingerprints were traced in four texts of different genres. Depressivity was measured using the Depression, Anxiety and Stress Scale (DASS-21). The research sample (N = 172, 83 men, 89 women) was created by quota sampling an adult Czech population. Morphological variables of the texts showing differences (M-W test) between the non-depressive and depressive groups were incorporated into predictive models. Results: Across all participants, the data best fit predictive models of depressivity using morphological characteristics from the informal text &quot;letter from holidays&quot; (Nagelkerke r(2) = 0.526 for men and 0.670 for women). For men, models for the formal texts &quot;cover letter&quot; and &quot;complaint&quot; showed moderate fit with the data (r(2) = 0.479 and 0.435). The constructed models show weak to substantial recall (0.235 - 0.800) and moderate to substantial precision (0.571 - 0.889). Morphological variables appearing in the final models vary. There are no key morphological characteristics suitable for all models or for all genres. The resulting models&apos; properties demonstrate that they should be suitable for screening individuals at risk of depression and the most suitable genre is informal text (&quot;letter from holidays&quot;).

Název v anglickém jazyce

Text-based detection of the risk of depression

Popis výsledku anglicky

This study examines the relationship between language use and psychological characteristics of the communicator. The aim of the study was to find models predicting the depressivity of the writer based on the computational linguistic markers of his/her written text. Respondents&apos; linguistic fingerprints were traced in four texts of different genres. Depressivity was measured using the Depression, Anxiety and Stress Scale (DASS-21). The research sample (N = 172, 83 men, 89 women) was created by quota sampling an adult Czech population. Morphological variables of the texts showing differences (M-W test) between the non-depressive and depressive groups were incorporated into predictive models. Results: Across all participants, the data best fit predictive models of depressivity using morphological characteristics from the informal text &quot;letter from holidays&quot; (Nagelkerke r(2) = 0.526 for men and 0.670 for women). For men, models for the formal texts &quot;cover letter&quot; and &quot;complaint&quot; showed moderate fit with the data (r(2) = 0.479 and 0.435). The constructed models show weak to substantial recall (0.235 - 0.800) and moderate to substantial precision (0.571 - 0.889). Morphological variables appearing in the final models vary. There are no key morphological characteristics suitable for all models or for all genres. The resulting models&apos; properties demonstrate that they should be suitable for screening individuals at risk of depression and the most suitable genre is informal text (&quot;letter from holidays&quot;).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50103 - Cognitive sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Frontiers in psychology

ISSN

1664-1078

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

MAR

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

11

Strana od-do

"Article Number: 513"

Kód UT WoS článku

000461601000001

EID výsledku v databázi Scopus

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