ANALISIS SENTIMEN OPINI PUBLIK MENGENAI VAKSINASI COVID-19 MENGGUNAKAN METODE NAIVE BAYES DAN CHI SQUARE

MONICA, CINDY and Yusliani, Novi and Satria, Hadipurnawan (2023) ANALISIS SENTIMEN OPINI PUBLIK MENGENAI VAKSINASI COVID-19 MENGGUNAKAN METODE NAIVE BAYES DAN CHI SQUARE. Undergraduate thesis, Sriwijaya University.

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Abstract

In order to accelerate the handling of the spread of COVID-19 in Indonesia, the Government of the Republic of Indonesia has issued vaccinations for the people of Indonesia at the end of 2020. The vaccination is considered controversial so that it invites many people to give their opinions in various media. This opinion must be considered as an evacuation material so that the vaccination plan that will be carried out can run well. By utilizing data from social media Twitter, this study aims to analyze these responses in positive, negative, and neutral responses. Furthermore, public opinion grouping will also be carried out using the Naïve Bayes and Chi Square method to find out the topics of conversation that are often discussed by the public regarding the vaccination.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Vaksinasi covid-19, Naive Bayes, Chi Square, Analisis sentimen
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare > HV1-9960 Social pathology. Social and public welfare. Criminology R Medicine > RA Public aspects of medicine > RA1-1270 Public aspects of medicine
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Cindy Monica
Date Deposited:	15 Sep 2023 06:23
Last Modified:	13 Feb 2024 13:50
URI:	http://repository.unsri.ac.id/id/eprint/128671

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