Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Arabic Tweets Sentiment Analysis about Online Learning during COVID-19 in Saudi Arabia

Author 1: Asma Althagafi Author 2: Ghofran Althobaiti Author 3: Hosam Alhakami Author 4: Tahani Alsubait
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 3 · Published 2021 · Cited by 30

DOI: https://doi.org/10.14569/IJACSA.2021.0120373

Abstract

The COVID-19 pandemic can be considered as the greatest challenge of our time and is defining and re-shaping many aspects of our life such as learning and teaching, especially in the academic year of 2020. While some people could adapt quickly to online learning, others consider it to be inefficient. The re-opening of schools and universities is currently under consideration. However, many experts in many countries suggested that at least one semester should be online, during the pandemic. Understanding the public’s emotional reaction to online learning has become significant. This paper studies the attitude of people of Saudi Arabia towards online learning. We have used a collection of Arabic tweets posted in 2020, collected mainly via hashtags that originated in Saudi Arabia. Our sentiment analysis has shown that people have maintained a neutral response to online learning. This study will allow scholars and decision makers to understand the emotional effects of online learning on communities.

Keywords

How to Cite this Article

Althagafi, A., Althobaiti, G., Alhakami, H., & Alsubait, T. (2021). Arabic Tweets Sentiment Analysis about Online Learning during COVID-19 in Saudi Arabia. International Journal of Advanced Computer Science and Applications, 12(3). https://doi.org/10.14569/IJACSA.2021.0120373

Althagafi, Asma, et al.. "Arabic Tweets Sentiment Analysis about Online Learning during COVID-19 in Saudi Arabia." International Journal of Advanced Computer Science and Applications, vol. 12, no. 3, 2021, https://doi.org/10.14569/IJACSA.2021.0120373.

@article{Althagafi2021,
  title     = {Arabic Tweets Sentiment Analysis about Online Learning during COVID-19 in Saudi Arabia},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {3},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Asma Althagafi and Ghofran Althobaiti and Hosam Alhakami and Tahani Alsubait},
  doi       = {10.14569/IJACSA.2021.0120373},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120373}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.