Abstract
The Covid-19 pandemic is the deadliest outbreak in our living memory. So, it is need of hour, to prepare the world with strategies to prevent and control the impact of the epidemics. In this paper, a novel semantic pattern detection approach in the Covid-19 literature using contextual clustering and intelligent topic modeling is presented. For contextual clustering, three level weights at term level, document level, and corpus level are used with latent semantic analysis. For intelligent topic modeling, semantic collocations using pointwise mutual information(PMI) and log frequency biased mutual dependency(LBMD) are selected and latent dirichlet allocation is applied. Contextual clustering with latent semantic analysis presents semantic spaces with high correlation in terms at corpus level. Through intelligent topic modeling, topics are improved in the form of lower perplexity and highly coherent. This research helps in finding the knowledge gap in the area of Covid-19 research and offered direction for future research.
Highlights
The Coronavirus family comprises of a wide range of animal and human viruses
In this paper to understand the literature of Covid-19, two topic modeling technique called Latent Dirichlet Allocation and Latent semantic analysis are used
Context Aware Hierarchical Clustering in three semantic spaces. In this analysis of latent semantic analysis (LSA), using all the three proposed weight for latent semantic analysis, the three semantic spaces are constructed known as Latent semantic space-NNN, Latent semantic space-NTC, and Latent semantic space-ATC
Summary
The Coronavirus family comprises of a wide range of animal and human viruses. Coronaviruses are positive-sense RNA viruses and are classiðed into four genera: Alpha, Beta, Gamma, and Delta-coronaviruses. (Weiss & Leibowitz.,2011; Burrell et al, 2016). Alpha coronaviruses and beta-coronaviruses are found exclusively in mammals, whereas gamma coronaviruses and deltacoronaviruses primarily infect birds. Prior to 2003, members of this family were believed to cause only mild respiratory illness in humans. The 2003 epidemic of SARS-Cov prompted an intensive research for novel coronaviruses, resulting in the detection of a number. Of novel coronaviruses in humans, domestic animals and wildlife. This research finds the greatest discovery, which suggest that bat and avian species are the natural reservoirs of the viruses (Guo,2020). Recent studies discover that these coronaviruses are the result of recent cross species transmission events
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