Abstract

RODRIGUEZ-OREJUELA, Augusto; MONTES-MORA, Claudia Lorena  and  OSORIO-ANDRADE, Carlos Fernando. Feelings towards COVID-19 Vaccination: Colombian Panorama on Twitter. Palabra Clave [online]. 2022, vol.25, n.1, e2514.  Epub Mar 15, 2022. ISSN 0122-8285.  https://doi.org/10.5294/pacla.2022.25.1.4.

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.

Keywords : Sentiment analysis; COVID-19; social network; Twitter; vaccines.

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