Sentiment analysis of COVID-19 cases in Greece using Twitter data.

Expert Syst. Appl.(2023)

引用 2|浏览0
暂无评分
摘要
(25.32%) mainly and secondly (19.88%) were found to be the prevailing sentiments of COVID-19. The correlation coefficient () for the Vader lexicon is -0.07454 related to cases and -0.,70668 to the tweets, while the other lexicon had 0.167387 and -0.93095 respectively, all measured at significance level of p < 0.01. Evidence shows that the sentiment does not correlate with the spread of COVID-19, possibly since the interest in COVID-19 declined after a certain time.
更多
查看译文
关键词
Sentiment analysis,Twitter,Pandemic,Web data,Public health
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要