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

The recent pandemic of coronavirus disease [1] is caused by novel human coronavirus, initially referred to as the Wuhan coronavirus (CoV), which is currently designated as a severe acute respiratory syndrome (SARS)-CoV-2 as per the latest International Committee on Taxonomy of Viruses (ICTV) classification [2] and was suggested to have a possible zoonotic origin [3] . As an outbreak of pneumonia started in Wuhan, China and the first case was found on 12 December 2020. By the end of March 2020, it has infected more than 750,000 individuals in nearly 201 countries and causes more than 36,000 deaths worldwide [4] . SARS-CoV-2 belongs to the family of Coronaviridae. It has an envelope and maintains a single-strand, positive-sense RNA genome ranging from 26 to 32 kb in length [5] . These viruses can be classified into four genera: alpha, beta, delta, and gamma. From which alpha and beta Coronavirus (CoVs) are known to infect humans [6] . They are circulated among humans, other mammals, and birds. They can cause respiratory, hepatic, enteric, and neurologic diseases [7] as well. Despite the fact majority of human coronavirus infections found to have a mild effect, the epidemics of two Beta coronaviruses (betaCoV) -namely Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) have caused more than ten thousand cumulative cases in the past 20 years with mortality rates about 10 percent for SARS-CoV and 37 percent in case of MERS-CoV [8] [9] . As the situation is getting worst turning from epidemic to pandemic with an increasing number of confirmed cases and its related deaths with each passing day. Science community around the world has joined their hand to fight against this deadly disease in all the possible ways including, making the vaccines, repurposing the existing drugs and designing diagnostic kits for the detection of the presence of virus or disease. Varieties of works also includes sequencing the virus genome to identify the origin of the virus and the possible mode of transmission, to allocate the resource for the patients and applying the statistical models to predict how fast the disease can be spread. To begin any new research it is very essential to know what information is already available. As we know the fact that the similar virus has already been known, it becomes crucial to collect and organize this information from the ocean of research articles. The average reading speed of a human is roughly 200 wpm (words per minute) [10] , that means that it will take a substantial amount of time to comprehend and find useful information from thousands of research articles published. To help the research community for screening the thousands of published research and making the comprehension in a short amount of time we have designed the AI-NLP based system which can mine the relevant articles and give a short article summary, that can make ease in fast and efficient comprehension for researchers. As various experts are working in a different domain they search for the relevant information which lies in a varied domain. Data mining is becoming a fundamental component of the global world with verities of applications. Data mining assists a quick and efficient decision-making process that enhancing the accuracy of an outcome. We already have a huge amount of data or information in forms of research articles published in the last 5 decades or more. With the application of