… to support text mining applications over the COVID-19 … shared tasks that have been introduced
for COVID-19. We compile a … and open challenges for text mining the COVID-19 literature. …

… In the light of above this study aims to analyze press coverage during the COVID-…
COVID-19 on Facebook and Instagram posting activity, regarding publications with word ‘Coronavirus’, …

… text clustering–based analysis of COVID-19 research articles. Owing to the proliferation of
published COVID… The study analyzes 83,264 abstracts from research articles related to COVID-…

… a text-mining approach as an alternative to navigating large volumes of COVID-19 literature.
… In our text mining analyses of NIH's COVID-19 Portfolio, we discovered two sets of eleven …

… The first contribution of the study is to present an overview of coronavirus literature using
text mining for coronavirus-related research, offer a structured morphology of the existing …

… In none of the experiments we did any text pre-processing. Since there is a randomness in
… classification problem–detecting the positive reports of COVID19 from Twitter data. Since the …

… or text mining can help mine useful information and knowledge from large volumes of biomedical
literature. The objective of text mining … In this context, we offer an innovative text mining …

… analyzing how text mining can provide insights on the impact of the coronavirus pandemic on
… A method applies text mining of general newspapers as well as SC and logistic newspaper …

… This approach is generally used to analyze data that is semi-structured such as text. Based
… to corona virus will be carried out based on tweets from Twitter using text mining methods. …

… This paper proposes the use of text mining methodology to detect lines of research centred
around the coronavirus, and the results can be used to mark out policies to be implemented. …