Analysis of COVID-19 Data

A lot of research has been done during the first months of 2020 regarding the Covid-19 Researchers of different fields worked and cooperated to understand the virus better, in order to manage the pandemic and to model its spread A series of tools have been developed in this sense, but there is a lack of work with regards to what has been developed from the scientific community We would like to, at least partially, summarise the results obtained so far by analysing some of the published papers on the matter To achieve such a result, we are going to use different python libraries that allow analysing texts The entire work has been done with python on the Google Colaboratory platform © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG