Global impact of the pandemic on education: a study of natural language processing

Teoman Berkay Ayaz*, Muhammed Safa Uslu, Ibrahim Agcabay, Farouq Ahmad, Omer Faruk Korkmaz, Mesut Kureksiz, Emre Ulucam, Elif Yildirim, Busta Kocacinar, Fatma Patlar Akbulut

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

School closures due to the Covid-19 pandemic have changed education forever and we have witnessed the rise of online learning platforms. The education units of the countries made great efforts to adapt to this new order. The expanding, quick spread of the virus and careful steps have prompted the quest for reasonable choices for continuing education to guarantee students get appropriate education and are not impacted logically or mentally. Different methods were attempted to understand how students were affected by this big change. In addition to the significance of traditional surveys and consulting services, the utilization of social media analysis is used as a supportive approach. This paper analyzes the feedback of students on social media via tweets. Deep sentiment analysis is employed to identify embedded emotions such as negative, neutral, and positive. We also aimed to classify irrelevant tweets as the fourth category. Our experiments showed that the tweets are mostly biased toward negative emotions.

Original languageEnglish
Title of host publicationProceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665488945
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 - Antalya, Turkey
Duration: 7 Sept 20229 Sept 2022

Publication series

NameProceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022

Conference

Conference2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022
Country/TerritoryTurkey
CityAntalya
Period7/09/229/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

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

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