Comparison between research focuses with or without the machine learning techniques when fighting COVID-19
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Event Type
Poster
Tracks
Poster
TimeWednesday, September 15
Location
DescriptionFor the past year scientific research efforts have been absorbed by the Coronavirus or COVID-19 pandemic. Researchers have been focused on testing, vaccines, and symptoms among other topics. As a new approach to fighting Covid-19, machine learning has also been included in research methods by many scientists. But few studies have revealed the difference in research focus with or without machine learning techniques in the fight against Covid-19. This study will comparative analysis the word cloud images, and word frequency tables generated from a public dataset (with all the covid-19 research publications) and the dataset, which includes only the machine learning and Covid-19 related research publication, that crawled from google scholar by our team. This study will show how machine learning is affecting the COVID-19 fighting.
Poster Author