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A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
[article]
2020
arXiv
pre-print
Towards the end of 2019, Wuhan experienced an outbreak of novel coronavirus, which soon spread all over the world, resulting in a deadly pandemic that infected millions of people around the globe. The government and public health agencies followed many strategies to counter the fatal virus. However, the virus severely affected the social and economic lives of the people. In this paper, we extract and study the opinion of people from the top five worst affected countries by the virus, namely
arXiv:2011.10358v1
fatcat:xcmffxjkijh2lmbt5rndcf2fvy