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deepMINE - Natural Language Processing based Automatic Literature Mining and Research Summarization for Early-Stage Comprehension in Pandemic Situations specifically for COVID-19

View ORCID ProfileBhrugesh Joshi, View ORCID ProfileVishvajit Bakarola, View ORCID ProfileParth Shah, Ramar Krishnamurthy
doi: https://doi.org/10.1101/2020.03.30.014555
Bhrugesh Joshi
Uka Tarsadia University, Gujarat, India
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Vishvajit Bakarola
Uka Tarsadia University, Gujarat, India
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  • For correspondence: vishvajit.bakrola@utu.ac.in
Parth Shah
Uka Tarsadia University, Gujarat, India
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Ramar Krishnamurthy
Uka Tarsadia University, Gujarat, India
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Abstract

The recent pandemic created due to Novel Coronavirus (nCOV-2019) from Wuhan, China demanding a large scale of a general health emergency. This demands novel research on the vaccine to fight against this pandemic situation, re-purposing of the existing drugs, phylogenetic analysis to identify the origin and determine the similarity with other known viruses, etc. The very preliminary task from the research community is to analyze the wide verities of existing related research articles, which is very much time-consuming in such situations where each minute counts for saving hundreds of human lives. The entire manual processing is even lower down the efficiency in mining the information. We have developed a complete automatic literature mining system that delivers efficient and fast mining from existing biomedical literature databases. With the help of modern-day deep learning algorithms, our system also delivers a summarization of important research articles that provides ease and fast comprehension of critical research articles. The system is currently scanning nearly 1,46,115,136 English words from 29,315 research articles in not greater than 1.5 seconds with multiple search keywords. Our research article presents the criticality of literature mining, especially in pandemic situations with the implementation and online deployment of the system.

Footnotes

  • bhrugesh.joshi{at}utu.ac.in, vishvajit.bakrola{at}utu.ac.in, parth.shah{at}utu.ac.in, krishnamurthy{at}utu.ac.in

  • https://deepmine.in/

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 02, 2020.
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deepMINE - Natural Language Processing based Automatic Literature Mining and Research Summarization for Early-Stage Comprehension in Pandemic Situations specifically for COVID-19
Bhrugesh Joshi, Vishvajit Bakarola, Parth Shah, Ramar Krishnamurthy
bioRxiv 2020.03.30.014555; doi: https://doi.org/10.1101/2020.03.30.014555
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deepMINE - Natural Language Processing based Automatic Literature Mining and Research Summarization for Early-Stage Comprehension in Pandemic Situations specifically for COVID-19
Bhrugesh Joshi, Vishvajit Bakarola, Parth Shah, Ramar Krishnamurthy
bioRxiv 2020.03.30.014555; doi: https://doi.org/10.1101/2020.03.30.014555

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