Abstract
When the world is rushing to test potential COVID-19 treatments, the limited resources and the overwhelming information demand the fast understanding of the promising drugs. This paper examines the multipurpose use of potential COVID-19 treatments by mining scientific papers on COVID-19 and related historical coronavirus research. Semantic shifts of the treatment-related entities are recognized to present their various applications in practice. The results identify 10 multipurpose entities. For selected entities, a detailed interpretation is given via text mining analysis about their possible use and rationale in different situations.
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Acknowledgements
This research is supported by the MOE (Ministry of Education of China) Project of Humanities and Social Sciences [grant number 18YJC870002].
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Chen, B., Yu, Q., Bu, Y., Ding, Y. (2021). Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments. In: Toeppe, K., Yan, H., Chu, S.K.W. (eds) Diversity, Divergence, Dialogue. iConference 2021. Lecture Notes in Computer Science(), vol 12645. Springer, Cham. https://doi.org/10.1007/978-3-030-71292-1_12
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DOI: https://doi.org/10.1007/978-3-030-71292-1_12
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