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Public Opinions about Online Learning during COVID-19: A Sentiment Analysis Approach

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Centre for Educational Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
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Commonwealth of Learning, Burnaby, BC V5H 4M2, Canada
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Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
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Graduate Institute of Science Education, National Taiwan Normal University, Taipei City 116, Taiwan
*
Authors to whom correspondence should be addressed.
Academic Editor: Abdollah Shafieezadeh
Sustainability 2021, 13(6), 3346; https://doi.org/10.3390/su13063346
Received: 16 February 2021 / Revised: 10 March 2021 / Accepted: 15 March 2021 / Published: 18 March 2021
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. View Full-Text
Keywords: COVID-19 pandemic; online learning; sentiment analysis; web scraping COVID-19 pandemic; online learning; sentiment analysis; web scraping
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MDPI and ACS Style

Bhagat, K.K.; Mishra, S.; Dixit, A.; Chang, C.-Y. Public Opinions about Online Learning during COVID-19: A Sentiment Analysis Approach. Sustainability 2021, 13, 3346. https://doi.org/10.3390/su13063346

AMA Style

Bhagat KK, Mishra S, Dixit A, Chang C-Y. Public Opinions about Online Learning during COVID-19: A Sentiment Analysis Approach. Sustainability. 2021; 13(6):3346. https://doi.org/10.3390/su13063346

Chicago/Turabian Style

Bhagat, Kaushal Kumar, Sanjaya Mishra, Alakh Dixit, and Chun-Yen Chang. 2021. "Public Opinions about Online Learning during COVID-19: A Sentiment Analysis Approach" Sustainability 13, no. 6: 3346. https://doi.org/10.3390/su13063346

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