Inani, Sarveshwar Kumar
, Mohnot, Jitesh, Pradhan, Harsh, Nagpal, Gaurav and Nagpal, Ankita
(2025)
Mapping the Linkage Between Covid-19 and Finance Research Using Structural Topic Modelling: A Machine Learning Perspective.
In: 2025 International Conference on Technology Enabled Economic Changes, InTech 2025, 27-28 February 2025, Tashkent.
Mapping the Linkage Between Covid-19 and Finance Research Using Structural Topic Modelling-A Machine Learning Perspective.pdf - Published Version
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Abstract
There is a substantial body of scholarly literature on finance research conducted during the COVID-19. However, a comprehensive and systematic overview of the relevant literature has not yet been established. Therefore, the present study conducts bibliometric analysis and structural topic modeling on a dataset of 3,435 articles extracted from Scopus between 2020 and 2023. It studies publication patterns, significant journals and institutions publishing papers on finance research during the COVID-19 crisis. Seven thematic clusters in finance research including accounting, public finance, banking, corporate financing, market volatility, sentiment analysis, and governance - have been identified by structural topic modelling. These findings aid in comprehending the major COVID-19 related financial research themes. The study has also recommended a future research agenda.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | Machine Learning | Structural Topic Modelling | Text Mining | Finance Research | COVID-19 |
| Subjects: | Social Sciences and humanities > Social Sciences > Social Sciences (General) |
| JGU School/Centre: | Jindal Global Business School |
| Depositing User: | Mr. Luckey Pathan |
| Date Deposited: | 22 Dec 2025 09:40 |
| Last Modified: | 22 Dec 2025 09:41 |
| Official URL: | https://doi.org/10.1109/InTech64186.2025.11198293 |
| URI: | https://pure.jgu.edu.in/id/eprint/10531 |
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