Analisis Sentimen Terhadap Topik Virus Corona Pada Media Sosial Twitter Berbasis Python Menggunakan Metode Naïve Bayes

Rahmatullah, Fedy (2021) Analisis Sentimen Terhadap Topik Virus Corona Pada Media Sosial Twitter Berbasis Python Menggunakan Metode Naïve Bayes. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Coronavirus or severe acute respiratory syndrome CoronaVirus-2 (SARS-CoV-2) is a virus that attacks the respiratory system. The disease caused by this virus is also known as COVID-19. The Coronavirus has become a popular topic and has become a hot topic of discussion among the public, both positive and negative opinions through various social media, one of which is Twitter. This opinion can be used as a parameter for the community's response to covid-19 and various policies made related to covid. The purpose of this study is to determine the tendency of public opinion on the topic of the coronavirus on Twitter social media in Indonesia. The algorithm used in this study is the Naïve Bayes Classifier and the results of accuracy, precision, recall and f-measure are 70.73%, 71.36%, 67.27%, and 69.26%, respectively.

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