The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only public health and global economics but also mental health and mood. While the impact of the COVID-19 pandemic has been widely studied, relatively fewer discussions about the sentimental reaction of the population have been available. In this article, we scrape COVID-19 related tweets on the microblogging platform, Twitter, and examine the tweets from Feb~24, 2020 to Oct~14, 2020 in four Canadian cities (Toronto, Montreal, Vancouver, and Calgary) and four U.S. cities (New York, Los Angeles, Chicago, and Seattle). Applying the Vader and NRC approaches, we evaluate the sentiment intensity scores and visualize the information over different periods of the pandemic. Sentiment scores for the tweets concerning three anti-epidemic measures, masks, vaccine, and lockdown, are computed for comparisons. The results of four Canadian cities are compared with four cities in the United States. We study the causal relationships between the infected cases, the tweet activities, and the sentiment scores of COVID-19 related tweets, by integrating the echo state network method with convergent cross-mapping. Our analysis shows that public sentiments regarding COVID-19 vary in different time periods and locations. In general, people have a positive mood about COVID-19 and masks, but negative in the topics of vaccine and lockdown. The causal inference shows that the sentiment influences people's activities on Twitter, which is also correlated to the daily number of infections.
翻译:人类严重急性急性呼吸道综合征冠状病毒2 (SARS-Cov-2) (SARS-Cov-2) 导致COVID-19疾病的人类严重急性急性呼吸道急性呼吸道综合症冠状病毒2 (SARS-Cov-2), 继续在世界各地蔓延,不仅影响公共卫生和全球经济,而且影响心理健康和情绪。虽然对COVID-19流行病的影响进行了广泛研究,但关于民众情感反应的讨论相对较少。在本篇文章中,我们在微博平台、Twitter(Twitter)上筛选了COVID-19相关的推特推文,并审查了从2020年2月24日到10~14日,在加拿大四个城市(托伦托、蒙特利尔、温哥华和卡尔加里)以及四个美国城市(纽约、洛杉矶、芝加哥和西雅图),这些推介道不仅影响公共卫生和全球经济,而且还影响心理健康和心理健康。我们用VIDER和NRC方法评估了不同时期的情绪强度, 计算出三种反弹道措施、口罩、疫苗和锁的推文的推文的评分数。四个加拿大城市的结果与四个城市比较了D-美国4个城市的数据。 我们用网络的血压和血压和血压关系分析显示了我们的血压-血压和血压关系。