Mining text on Coronavirus

This document describes the behavior of the production of academic papers and high circulation newspapers, published under the terms “Coronavirus, Covid-19 or SARS-CoV-2”. The purpose of this paper is to employ text mining techniques and qualitative data analysis for pattern identification (Dobrzyńs...

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Bibliographic Details
Published in:Procedia computer science 2020, Vol.177, p.253-260
Main Authors: Beltrán-Oicatá, Cristian O., Gaitán-Angulo, Mercedes, Lis-Gutiérrez, Melissa, Naveda, Alexa Senior
Format: Article
Language:English
Subjects:
Coronavirus
COVID-19
pandemic
SARS-CoV-2
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Summary:This document describes the behavior of the production of academic papers and high circulation newspapers, published under the terms “Coronavirus, Covid-19 or SARS-CoV-2”. The purpose of this paper is to employ text mining techniques and qualitative data analysis for pattern identification (Dobrzyński, Dziekoński, Krzysztof, & Jurczuk, 2013; Westergaard, Staerfeldt, Tønsberg, Jensen, & Brunak, 2018). The interest of this study arises from the importance of this topic today and its relationship with the economy, business and society. As a result, the production of scientific papers has been led by the United States, China and Russia. In Latin America, Brazil is the country with the highest scientific output on this subject. The analysis of newspaper articles focusing on economic and business issues showed the work between large companies, the government and the community, as well as companies with businesses and the need to adapt to constant change in the face of the crisis of labor and production.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.10.035