Public sentiment on Covid-19 vaccination rollout through Twitter content analysis

Guilbert Nicanor Abiera Atillo

doi:10.46223/HCMCOUJS.soci.en.15.3.3334.2025

15(5)2025

Public sentiment on Covid-19 vaccination rollout through Twitter content analysis

Author - Affiliation:

Guilbert Nicanor Abiera Atillo - Negros Oriental State University, Dumaguete City

Corresponding author: Guilbert Nicanor Abiera Atillo - guilbertnicanor.atillo@norsu.edu.ph

DOI:10.46223/HCMCOUJS.soci.en.15.3.3334.2025

Submitted: 31-03-2024
Accepted: 26-05-2024
Published: 18-10-2024

Abstract

This study looks at what people are saying about Covid-19 vaccines on Twitter. Text mining techniques and sentiment analysis were used to analyze the tweets and see what patterns and trends emerged. The study found that most tweets were positive, showing hope and confidence in vaccines. People believe vaccines can help reduce deaths, severe illness, and the spread of the virus. However, the result also noticed that people express different emotions like sadness, fear, joy, and surprise in their tweets. These emotions can change based on how people feel and what’s happening around them. Understanding how people think about Covid-19 vaccines can help policymakers, doctors, and community leaders. It can guide them in addressing concerns, sharing accurate information, and building vaccine trust. This can ultimately help in the fight against the pandemic.

Keywords

Covid pandemic; sentiment analysis; text mining; Twitter; vaccination

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DOI: https://doi.org/10.46223/HCMCOUJS.soci.en.15.3.3334.2025