期刊
SUSTAINABILITY
卷 13, 期 6, 页码 -出版社
MDPI
DOI: 10.3390/su13063346
关键词
COVID-19 pandemic; online learning; sentiment analysis; web scraping
During the COVID-19 pandemic, public opinion about online learning was predominantly positive, with blogs being more positive and opinionated compared to news articles.
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.
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