Uncovering the Trends in Indian Research: Latent Dirichlet Allocation (LDA) Analysis of UGC-funded Publications
Devanath P R, Rupesh Kumar A
Journal of Information & Systems Management, Vol. 14, No. 4, 2024.
DOI: https://doi.org/10.6025/jism/2024/14/4/165-170
Link: https://www.dline.info/jism/fulltext/v14n4/jismv14n4_5.pdf
Abstract:
This study traced the trends in Indian-funded research using UGC-funded publications indexed in Web of Science.  Using R programming language, we employed Latent Dirichlet Allocation (LDA) and n-gram modelling of titles of 6094 publications made during 2023.   The analysis indicated three important areas of research:  Anticancer compounds, Nanoparticles/Carbon Nanoparticles, and Complex Oxide Materials.  The high degree of prevalence of the terms â€œanalysisâ€, â€œsynthesisâ€, and â€œcharacterizationâ€ in the clusters of terms indicated the predominance of theÂ experimental method of research circling the three areas of research stated above. The n-gram modelling revealed â€œmolecular dockingâ€ and â€œmolecular docking studiesâ€ as the most frequent bigram and trigram.  It further showed that â€œbreast cancerâ€ among the types of cancer is the most crucial area of research.  UGC mainly funded experimental research on â€œcancerâ€ during 2023.  Extensive research on abstracts and full publications texts could offer a more comprehensive insight into prevailing research trends.