Deep learning and machine learning approach applied to the automatic classification of opinions on Twitter in the Covid-19 pandemic in Panama

ABSTRACT

Twitter is an important social network and information channel where opinions (tweets) can be obtained and processed in real time that can be explored, analyzed and organized to make better decisions. Opinion mining is a natural language processing task that identifies user opinions as positive, negative, or neutral. COVID-19 is an infectious disease caused by the coronavirus that appeared in December 2019 in China and immediately provoked a large number of opinions. To allow Panamanian health organizations to detect opportunities to improve the quality of medical care, we propose to classify the tweets the analysis of two approaches deep learning and machine learning for to appreciate which is more precise. We obtained encouraging results with a precision of 95.6%. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.