ICAR Research Data Repository for Knowledge Management
Topic modelling-based analysis of COVID-19 vaccine articles published in the preprint server MedRxiv
NOPR - NISCAIR Online Periodicals Repository
View Archive Info| Field | Value | |
| Title |
Topic modelling-based analysis of COVID-19 vaccine articles published in the preprint server MedRxiv
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| Creator |
Deshpande, Nishad
Ligade, Virendra Shaikh, Shabib-Ahmed Khode, Alok |
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| Subject |
COVID-19
Vaccine Preprints LDA Topic modelling |
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| Description |
41-51
Two thousand one hundred and ninety-eight research publications on COVID-19 vaccines in MedRxiv preprint repository during January 01, 2020 and December 31, 2021 were analyzed for topic modelling with unsupervised inference method. Latent Dirichlet Allocation (LDA) method was used to investigate the thematic structure of the preprints. It was observed that the published articles were related to either clinical trials or patient responses to vaccine or modelling for various applications such as infection transmission, vaccine allocation, vaccine hesitancy etc. |
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| Date |
2023-05-03T08:42:58Z
2023-05-03T08:42:58Z 2023-05 |
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| Type |
Article
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| Identifier |
0975-2404 (Online); 0972-5423 (Print)
http://nopr.niscpr.res.in/handle/123456789/61835 https://doi.org/10.56042/alis.v70i1.71939 |
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| Language |
en
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| Publisher |
NIScPR-CSIR, India
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| Source |
ALIS Vol.70(1) [March 2023]
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