Envisioning Emerging Research 
Trends on Impact of COVID-19 on Indian Economy: A Bibliometric 
Study Applying Latent Semantic Analysis and Text Mining Technique

Pooja Misra, Jaya Gupta
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Abstract

The COVID-19 pandemic ignited an unprecedented emergency for countries across the globe. The twin threats to lives and livelihood caused due to the pandemic brought severe ramifications to the Indian economy. The labour market faced the brunt exponentially, and the same is evident from the extensive research studies undertaken in this realm. A large volume of research has been published in this domain analysing the impact of COVID-19. This bibliometric study presents the dominant areas of current research upon analysing the extant literature on the economic impact of the pandemic. The study identifies prevalent topics and themes mapped from the existing knowledge base by applying natural language processing (NLP) and machine learning. The study proposes areas for further research. JEL Codes: I1, I3, E7 1, E2
展望 COVID-19 对印度经济影响的新兴研究趋势:应用潜在语义分析和文本挖掘技术的文献计量学研究
COVID-19 大流行给全球各国带来了前所未有的紧急情况。大流行病对生命和生计造成的双重威胁给印度经济带来了严重影响。劳动力市场首当其冲,在这一领域开展的大量研究也证明了这一点。该领域发表了大量分析 COVID-19 影响的研究报告。本文献计量学研究通过分析现有文献中有关该流行病经济影响的内容,介绍了当前研究的主要领域。研究通过应用自然语言处理(NLP)和机器学习,从现有知识库中确定了流行的主题和专题。研究提出了进一步研究的领域。JEL 编码:I1, I3, E7 1, E2
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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