The State of Mind of Health Care Professionals in Light of the COVID-19 Pandemic: Text Analysis Study of Twitter Discourses
Original Paper
[키워드] accounted
active learning
affected
Algorithm
analyzed
association
Burnout
Care
caused
changes in
confirmed cases
COVID-19
COVID-19 pandemic
decrease
defined
described
discourse
distribution
Effect
Emotion analysis
emotional
exceeded
expressed
expressing
extreme
Factor
fatigue
fraction
hcp
Health
Health care
health care professionals
Implications
increase in
indicate
individual
intensity
labeling
lack
LIGHT
long-lasting
Longitudinal data
longitudinal study
machine learning
mental health
Mental health disorder
mind
morbidity
MOST
objective
organization
organizations
pandemic
pathway
Population
Prevent
professional
profiles
resource
Result
sentiment analysis
social media
Spearman correlation coefficient
state
Support
text
timeline
Topic
topic analysis
Twitter
Volume
was selected
[DOI] 10.2196/30217 PMC 바로가기 [Article Type] Original Paper
[DOI] 10.2196/30217 PMC 바로가기 [Article Type] Original Paper