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COVID-19 Vaccines in Indonesia: A Public Opinion Study Based on Twitter Data Multidimensional Sentiment Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Vaccination is one of several solutions to control the spread of Coronavirus disease (COVID-19). However, it turns out that vaccination is not well received by the community, resulting in public disputes across the country. This study analyzes the relevance of vaccines to several points of view, such as political, economic, and spiritual, which aims to confirm the effectiveness of mass vaccination in reducing the spread of COVID-19. We used the Indo-BERT (Bahasa Indonesia of Bidirectional Encoder Representations from Transformers) method to see public sentiment towards vaccinations. The result of this research is that people's sentiments tend to be more political, economic, social, and spiritual.

Original languageEnglish
Title of host publicationSIET 2022 - Proceedings of 7th International Conference on Sustainable Information Engineering and Technology 2022
PublisherAssociation for Computing Machinery
Pages165-175
Number of pages11
ISBN (Electronic)9781450397117
DOIs
Publication statusPublished - 22 Nov 2022
Event7th International Conference on Sustainable Information Engineering and Technology, SIET 2022 - Malang, Indonesia
Duration: 22 Nov 2022 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Sustainable Information Engineering and Technology, SIET 2022
Country/TerritoryIndonesia
CityMalang
Period22/11/22 → …

Keywords

  • COVID-19
  • indoBERT
  • natural language processing
  • public opinion
  • sentiment analysis
  • Twitter

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