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  <title>Uncovering the Trends in Indian Research: Latent Dirichlet Allocation (LDA) Analysis of UGC-funded Publications</title>
  <journal>Journal of Information &amp; Systems Management</journal>
  <author>Devanath P R, Rupesh Kumar A</author>
  <volume>14</volume>
  <issue>4</issue>
  <year>2024</year>
  <doi>https://doi.org/10.6025/jism/2024/14/4/165-170</doi>
  <url>https://www.dline.info/jism/fulltext/v14n4/jismv14n4_5.pdf</url>
  <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.</abstract>
</record>
