The research of the tweets including health subject and based on various countries

People can share their experiences on social media tools with ease of access and ecosystem, thus causing exponentially increasing data stacks with the people and communities they interact with. The global epidemic in a short period of time has led to data stacks on the basis of health, enabling the analysis of individual variables and end users. In this thesis, the shares at the relevant time on health basis through a selected social media tool were analyzed and visualized after data cleaning, and the status and interpretation of the shared thoughts on health at the time of the epidemic on the basis of countries were provided.