Public opinions about online learning during covid-19: A sentiment analysis approach

Kaushal Kumar Bhagat, Sanjaya Mishra, Alakh Dixit, Chun Yen Chang*


研究成果: 雜誌貢獻期刊論文同行評審

40 引文 斯高帕斯(Scopus)


The aim of this study was to analyze public opinion about online learning during the COVID-19 (Coronavirus Disease 2019) pandemic. A total of 154 articles from online news and blogging websites related to online learning were extracted from Google and DuckDuckGo. The articles were extracted for 45 days, starting from the day the World Health Organization (WHO) declared COVID-19 a worldwide pandemic, 11 March 2020. For this research, we applied the dictionary-based approach of the lexicon-based method to perform sentiment analysis on the articles extracted through web scraping. We calculated the polarity and subjectivity scores of the extracted article using the TextBlob library. The results showed that over 90% of the articles are positive, and the remaining were mildly negative. In general, the blogs were more positive than the newspaper articles; however, the blogs were more opinionated compared to the news articles.

期刊Sustainability (Switzerland)
出版狀態已發佈 - 2021 3月 2

ASJC Scopus subject areas

  • 電腦科學(雜項)
  • 環境科學(雜項)
  • 地理、規劃與發展
  • 能源工程與電力技術
  • 硬體和架構
  • 管理、監督、政策法律
  • 電腦網路與通信
  • 可再生能源、永續發展與環境


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