Abstract

Covid-19 affected the whole world in a short time, causing serious panic and uncertainty in society. Because it was an unprecedented disease, the medical community has worked hard to find out how to deal with it, and it continues to do so. The rapid spread of the disease, the shortage of hospital capacity and the increase in deaths drove the whole world to a closure, so to speak. In this time period, life in the world came to a halt. This also brought along many problems in terms of global economy. Many businesses announced their bankruptcy, many people were unemployed. Although the governments launched support packages, the lockdown caused huge damage to the global economy. In the light of this information, while studies continue intensively in the fields of medicine, chemistry and biology, researchers have accelerated their studies in fields such as data science, data analysis and open data as well. Within the scope of this study, in order to monitor and analyze the effects of Covid-19 on the economy, the economy news titles in the relevant period were collected and analyzed in detail using text mining techniques, and it was aimed to propose an alternative perspective to analyze the effect of the virus on the global economy.

Authors (3)