Natural language sentiment as an indicator of depression and anxiety symptoms: a longitudinal mixed methods study1

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F25%3A00585799" target="_blank" >RIV/68081740:_____/25:00585799 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/02699931.2024.2351952" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/02699931.2024.2351952</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/02699931.2024.2351952" target="_blank" >10.1080/02699931.2024.2351952</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Natural language sentiment as an indicator of depression and anxiety symptoms: a longitudinal mixed methods study1

Popis výsledku v původním jazyce

The study tested how the use of positive- (e.g. beautiful) and negative-valenced (e.g. horrible) words in natural language and its change in time affects the severity of depression and anxiety symptoms among depressed and non-depressed individuals. This longitudinal mixed methods study (N = 40 participants, n = 1440 narratives) with three measurements within a year showed that at the between-person level the use of negative-valenced words was strongly associated with the increase in anxiety and depression symptoms over time while the use of positive-valenced words was slightly associated with the decrease in anxiety and depression symptom. These effects were not supported for within-person level (i.e. changes in word usage). No significant differences were observed in the effects between depressed and non-depressed groups. Summing up, the overall use of positive- and negative-valenced words (particularly negative-valenced words) had a stronger effect on the severity of psychopathological symptoms than their change over time. The results were discussed in the context of natural language processing and its application in diagnosing depression and anxiety symptoms.

Název v anglickém jazyce

Natural language sentiment as an indicator of depression and anxiety symptoms: a longitudinal mixed methods study1

Popis výsledku anglicky

The study tested how the use of positive- (e.g. beautiful) and negative-valenced (e.g. horrible) words in natural language and its change in time affects the severity of depression and anxiety symptoms among depressed and non-depressed individuals. This longitudinal mixed methods study (N = 40 participants, n = 1440 narratives) with three measurements within a year showed that at the between-person level the use of negative-valenced words was strongly associated with the increase in anxiety and depression symptoms over time while the use of positive-valenced words was slightly associated with the decrease in anxiety and depression symptom. These effects were not supported for within-person level (i.e. changes in word usage). No significant differences were observed in the effects between depressed and non-depressed groups. Summing up, the overall use of positive- and negative-valenced words (particularly negative-valenced words) had a stronger effect on the severity of psychopathological symptoms than their change over time. The results were discussed in the context of natural language processing and its application in diagnosing depression and anxiety symptoms.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Cognition & Emotion

ISSN

0269-9931

e-ISSN

1464-0600

Svazek periodika

39

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

1693-1702

Kód UT WoS článku

001221586500001

EID výsledku v databázi Scopus

2-s2.0-85192813121