论文标题
Twitter互动以分析COVID-19的影响于3月至7月在非洲加纳的影响
Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
论文作者
论文摘要
这部小说的冠状病毒Covid-19，从旅游，商业，教育等人身上影响了世界各个方面。像每个国家一样，全球大流行对加纳产生了类似的影响。在此期间，该国的公民使用社交网络作为一个平台来查找和传播有关传染病的信息，并分享他们自己的观点和情感。在这项研究中，我们使用文本挖掘从社交网络Twitter收集的数据中获取见解。我们对数据的探索使我们了解了从3月至2020年7月在加纳大阿克拉地区提出的最常见的主题。我们观察到，该社交网络用户的参与最初在3月很高，但从4月至7月下降。原因可能是在该国宣布该疾病时，人们在最初的震惊之后变得越来越适应这种情况。我们还在这些用户的推文中找到了某些单词，使我们能够了解当时的个人的情感和心理状态。
The novel coronavirus, COVID-19, has impacted various aspects of the world from tourism, business, education, and many more. Like for every country, the global pandemic has imposed similar effects on Ghana. During this period, citizens of this country have used social networks as a platform to find and disseminate information about the infectious disease and also share their own opinions and sentiments. In this study, we use text mining to draw insights from data collected from the social network, Twitter. Our exploration of the data led us to understand the most frequent topics raised in the Greater Accra region of Ghana from March to July 2020. We observe that the engagement of users of this social network was initially high in March but declined from April to July. The reason was probably that the people were becoming more adapted to the situation after an initial shock when the disease was announced in the country. We also found certain words in these tweets of users that enabled us to understand the sentiments and mental state of individuals at the time.
