Emotional discourse analysis of COVID-19 patients and their mental health: A text mining study.

ABSTRACT: COVID-19 has caused negative emotional responses in patients, with significant mental health consequences for the infected population. The need for an in-depth analysis of the emotional state of COVID-19 patients is imperative. This study employed semi-structured interviews and the text mining method to investigate features in lived experience narratives of COVID-19 patients and healthy controls with respect to five basic emotions. The aim was to identify differences in emotional status between the two matched groups of participants. The results indicate generally higher complexity and more expressive emotional language in healthy controls than in COVID-19 patients. Specifically, narratives of fear, happiness, and sadness by COVID-19 patients were significantly shorter as compared to healt

SUBMITTER: Deng Y 

PROVIDER: S-EPMC9481002 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature