Big Data Analysis of Public Perceptions of Face-to-Face Learning in COVID-19 Era

Muhammad Ramadhan; Wishnu Erlangga; Guntur Hidayat

Proceedings of the 2nd Multidisciplinary International Conference, MIC 2022, 12 November 2022, Semarang, Central Java, Indonesia

Research Article

Big Data Analysis of Public Perceptions of Face-to-Face Learning in COVID-19 Era

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.12-11-2022.2327402,
    author={Muhammad Rheza Ramadhan and Wishnu Kusumo Agung Erlangga and Guntur Nur Hidayat},
    title={Big Data Analysis of Public Perceptions of Face-to-Face Learning in COVID-19 Era},
    proceedings={Proceedings of the 2nd Multidisciplinary International Conference, MIC 2022, 12 November 2022, Semarang, Central Java, Indonesia},
    publisher={EAI},
    proceedings_a={MIC},
    year={2023},
    month={2},
    keywords={face-to-face learning covid-19 twitter sentiment analysis},
    doi={10.4108/eai.12-11-2022.2327402}
}

Muhammad Rheza Ramadhan
Wishnu Kusumo Agung Erlangga
Guntur Nur Hidayat
Year: 2023
Big Data Analysis of Public Perceptions of Face-to-Face Learning in COVID-19 Era
MIC
EAI
DOI: 10.4108/eai.12-11-2022.2327402

Muhammad Rheza Ramadhan¹^,*, Wishnu Kusumo Agung Erlangga², Guntur Nur Hidayat³

1: Australian National University, Australia
2: University of Glasgow, Scotland
3: University of Illinois Urbana-Champaign, United States

*Contact email: muhammad.ramadhan@anu.edu.au

Abstract

This study began on January 2, 2022, to determine public opinion on face-to-face learning in Indonesia. The study takes public opinion from Twitter on January 2nd and 3rd, 2022, using the naive-bayes approach. Drone Emprit Academy provided the data. According to the data, there are 1,026 tweets with negative sentiment or 65 percent. Concerns about the spread of the COVID-19 virus, weariness, and fear of change are among the causes of bad feelings. There are also a few favorable feelings (24 percent), which might be attributed to the enthusiasm for face-to-face learning.

Keywords: face-to-face learning covid-19 twitter sentiment analysis

Published: 2023-02-14
Publisher: EAI

: http://dx.doi.org/10.4108/eai.12-11-2022.2327402