Published: 2022-01-03
Analisis Sentimen Mengenai Vaksin Sinovac di Media Sosial Twitter Menggunakan Metode Naïve bayes Classification
DOI: 10.35870/jtik.v6i3.479
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Abstract
The Sinovac vaccine is an example of a type of inactivated vaccine. The government bought Sinovac, Novavax, AstraZeneca, and Pfizer vaccines. This vaccine is used to treat the Covid-19 pandemic. This vaccine is used to treat the Covid-19 pandemic. The role of the Indonesian people in expressing and stating the pros and cons often involves public services that are easily accessible by many people, namely social media, one of which is Twitter. This can be used as material to analyze who produces data in support of decisions. The technique that can be used is sentiment analysis. The method used in this study is the Naïve bayes Classification. The purpose of this study was to determine the value of sentiment analysis on the Sinovac vaccine using the Naive Bayes Classification method on Twitter social media using Indonesian. The result of this research is the final probability value based on the condition 0.000002765 for positive and 0.000000359 for negative. A response with a positive comment has a greater probability of a response with a negative comment.
Keywords
Sentiment Analysis ; Naïve bayes classification ; Twitter ; Sinovac
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 6 No. 3 (2022)
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Section: Computer & Communication Science
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Published: %750 %e, %2022
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License: CC BY 4.0
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Copyright: © 2022 Authors
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DOI: 10.35870/jtik.v6i3.479
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Rima Tamara Aldisa
Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional
Azizah Azizah
Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional
Mohammad Aldinugroho Abdullah
Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional
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