Feelings towards COVID-19 Vaccination: Colombian Panorama on Twitter
Palabra Clave
; 25(1), 2022.
Article
in Spanish
| Scopus | ID: covidwho-1835470
ABSTRACT
This document intends to analyze the sentiments underlying COVID-19 vaccination tweets. To achieve the objective, 38,034 publications from this social network are extracted through data mining, applying Machine Learning techniques, specifically sentiment analysis and network analysis, to identify the feelings expressed by Twitter users. We also identify the most relevant Twitter accounts on vaccination issues. The results suggest that feelings about vaccines are primarily negative;fear and anger, respectively, are the most recurring emotions in Twitter opinions. Moreover, we noted that the most relevant accounts belong to the media, politicians, and influencers, classified according to their feelings toward the vaccine. Opposition to the government with feelings of anger and opposition to recognized media with joyful emotions stand out. © 2022 Universidad de La Sabana. All rights reserved.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
Country/Region as subject:
South America
/
Colombia
Language:
Spanish
Journal:
Palabra Clave
Year:
2022
Document Type:
Article
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