Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies.
SN Comput Sci
; 2(5): 394, 2021.
Article
in English
| MEDLINE | ID: covidwho-1682764
ABSTRACT
There is no doubt that the COVID-19 epidemic posed the most significant challenge to all governments globally since January 2020. People have to readapt after the epidemic to daily life with the absence of an effective vaccine for a long time. The epidemic has led to society division and uncertainty. With such issues, governments have to take efficient procedures to fight the epidemic. In this paper, we analyze and discuss two official news agencies' tweets of Iran and Turkey by using sentiment- and semantic analysis-based unsupervised learning approaches. The main topics, sentiments, and emotions that accompanied the agencies' tweets are identified and compared. The results are analyzed from the perspective of psychology, sociology, and communication.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Topics:
Vaccines
Language:
English
Journal:
SN Comput Sci
Year:
2021
Document Type:
Article
Affiliation country:
S42979-021-00789-0
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