Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis

The covid-19 pandemic has made changes in society, including Government policy. The policy changes led to mixing responses from the public, namely netizens. Netizen shares their opinion in social media, including Twitter. Their opinion can represent the public’s trust in the Government. Sentiment an...

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Autores principales:	Aziza Zahra Nur, Kristiyanto Daniel Yeri
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/b63cbe3b77e74a2a860b6306049a05cb
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spelling	oai:doaj.org-article:b63cbe3b77e74a2a860b6306049a05cb2021-11-08T15:19:57ZPrediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis2267-124210.1051/e3sconf/202131705013https://doaj.org/article/b63cbe3b77e74a2a860b6306049a05cb2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/93/e3sconf_icenis2021_05013.pdfhttps://doaj.org/toc/2267-1242The covid-19 pandemic has made changes in society, including Government policy. The policy changes led to mixing responses from the public, namely netizens. Netizen shares their opinion in social media, including Twitter. Their opinion can represent the public’s trust in the Government. Sentiment analysis analyses others’ opinions and categorises them into positive opinions, negative opinions, or neutral opinions. Sentiment analysis can analyze large numbers of opinions so that public opinion can be analyzed quickly. This paper explains how to analyze public trust using sentiment analysis and to use Naïve Bayes classification method to analyze sentiment. The data research was taken from Twitter in the first quarter of the Covid-19 pandemic, with around 3000 tweets. The tweets were related to Covid-19 and the Government from several countries such as the United States, Australia, Ireland, Switzerland, Italy, Philippines, Sri Lanka, Canada, Netherlands, United Kingdom, Germany, and Lebanon. This study aims to determine the level of public trust in the Government in the first quarter of the Covid-19 pandemic. The research result is expected to be used as a reference for the public policy stakeholders to determine future policies.Aziza Zahra NurKristiyanto Daniel YeriEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 317, p 05013 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Aziza Zahra Nur Kristiyanto Daniel Yeri Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis
description	The covid-19 pandemic has made changes in society, including Government policy. The policy changes led to mixing responses from the public, namely netizens. Netizen shares their opinion in social media, including Twitter. Their opinion can represent the public’s trust in the Government. Sentiment analysis analyses others’ opinions and categorises them into positive opinions, negative opinions, or neutral opinions. Sentiment analysis can analyze large numbers of opinions so that public opinion can be analyzed quickly. This paper explains how to analyze public trust using sentiment analysis and to use Naïve Bayes classification method to analyze sentiment. The data research was taken from Twitter in the first quarter of the Covid-19 pandemic, with around 3000 tweets. The tweets were related to Covid-19 and the Government from several countries such as the United States, Australia, Ireland, Switzerland, Italy, Philippines, Sri Lanka, Canada, Netherlands, United Kingdom, Germany, and Lebanon. This study aims to determine the level of public trust in the Government in the first quarter of the Covid-19 pandemic. The research result is expected to be used as a reference for the public policy stakeholders to determine future policies.
format	article
author	Aziza Zahra Nur Kristiyanto Daniel Yeri
author_facet	Aziza Zahra Nur Kristiyanto Daniel Yeri
author_sort	Aziza Zahra Nur
title	Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis
title_short	Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis
title_full	Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis
title_fullStr	Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis
title_full_unstemmed	Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis
title_sort	prediction of the level of public trust in government policies in the 1st quarter of the covid 19 pandemic using sentiment analysis
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/b63cbe3b77e74a2a860b6306049a05cb
work_keys_str_mv	AT azizazahranur predictionofthelevelofpublictrustingovernmentpoliciesinthe1stquarterofthecovid19pandemicusingsentimentanalysis AT kristiyantodanielyeri predictionofthelevelofpublictrustingovernmentpoliciesinthe1stquarterofthecovid19pandemicusingsentimentanalysis
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Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis

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