Sentiment Analysis of Tweets on Online Education during COVID-19

Elif Yıldırım*, Harun Yazgan, Onur Özbek, Ahmet Can Günay, Büşra Kocaçınar, Öznur Şengel, Fatma Patlar Akbulut

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The global coronavirus disease (COVID-19) pandemic has devastated public health, education, and the economy worldwide. As of December 2022, more than 524 million individuals have been diagnosed with the new coronavirus, and nearly 6 million people have perished as a result of this deadly sickness, according to the World Health Organization. Universities, colleges, and schools are closed to prevent the coronavirus from spreading. Therefore, distance learning became a required method of advancing the educational system in contemporary society. Adjusting to the new educational system was challenging for both students and instructors, which resulted in a variety of complications. People began to spend more time at home; thus, social media usage rose globally throughout the epidemic. On social media channels such as Twitter, people discussed online schooling. Some individuals viewed online schooling as superior, while others viewed it as a failure. This study analyzes the attitudes of individuals toward distance education during the pandemic. Sentiment analysis was performed using natural language processing (NLP) and deep learning methods. Recurrent neural network (RNN) and one-dimensional convolutional neural network (1DCNN)-based network models were used during the experiments to classify neutral, positive, and negative contents.

Original languageEnglish
Title of host publicationArtificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, Proceedings
EditorsIlias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages240-251
Number of pages12
ISBN (Print)9783031341106
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023 - León, Spain
Duration: 14 Jun 202317 Jun 2023

Publication series

NameIFIP Advances in Information and Communication Technology
Volume675 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023
Country/TerritorySpain
CityLeón
Period14/06/2317/06/23

Bibliographical note

Publisher Copyright:
© 2023, IFIP International Federation for Information Processing.

Keywords

  • COVID-19
  • Deep Learning
  • Distance Education
  • Sentiment Analysis
  • Social Media

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