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

Zahra Nur Aziza; Daniel Yeri Kristiyanto

doi:10.1051/e3sconf/202131705013

All issues

Volume 317 (2021)

E3S Web Conf., 317 (2021) 05013

References

Open Access

Issue		E3S Web Conf. Volume 317, 2021 The 6^th International Conference on Energy, Environment, Epidemiology, and Information System (ICENIS 2021)


Article Number		05013
Number of page(s)		8
Section		Information System Management and Environment
DOI		https://doi.org/10.1051/e3sconf/202131705013
Published online		05 November 2021

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[1] “Digital 2020: 3.8 billion people use social media - We Are Social.” https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media (accessed May 30, 2021) [Google Scholar]

[2] “Twitter and News: How people use Twitter to get news.” https://www.americanpressinstitute.org/publications/reports/survey-research/how-people-use-twitter-news/ (accessed May 30, 2021) [Google Scholar]

[3] F. Nurhuda, S. Widya Sihwi, and A. Doewes, “Analisis Sentimen Masyarakat terhadap Calon Presiden Indonesia 2014 berdasarkan Opini dari Twitter Menggunakan Metode Naive Bayes Classifier,” J. Teknol. Inf. ITSmart, vol. 2, no. 2, p. 35, doi: 10.20961/its.v2i2.630 (2016) [Google Scholar]

[4] V. A. Fitri, R. Andreswari, and M. A. Hasibuan, “ScienceDirect ScienceDirect Sentiment Analysis of Social Media Twitter with Case of Anti-LGBT Campaign in Indonesia using Naïve Bayes, Decision Tree, and Random Forest Algorithm ScienceDirect Sentiment Analysis of Social Media Twitter with Case of Anti-LGBT Campaign in Indonesia using Naïve Bayes, Decision Tree, and Random Forest Algorithm,” doi: 10.1016/j.procs.2019.11.181 (2019) [Google Scholar]

[5] M. S. Mubarok, A. Adiwijaya, and M. D. Aldhi, “Aspect-based sentiment analysis to review products using Naïve Bayes,” AIP Conf. Proc., vol. 1867, doi: 10.1063/1.4994463 (2017) [Google Scholar]

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[8] A. Goel, J. Gautam, and S. Kumar, “Real time sentiment analysis of tweets using Naive Bayes,” in Proceedings on 2016 2nd International Conference on Next Generation Computing Technologies, NGCT 2016, Mar. 2017, pp. 257–261, doi: 10.1109/NGCT.2016.7877424 (2017) [Google Scholar]