@article{4163,
  author = {Devanath P R, Rupesh Kumar A},
  title = {Uncovering the Trends in Indian Research: Latent Dirichlet Allocation (LDA) Analysis of UGC-funded Publications},
  journal = {Journal of Information & Systems Management},
  year = {2024},
  volume = {14},
  number = {4},
  doi = {https://doi.org/10.6025/jism/2024/14/4/165-170},
  url = {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 “analysis”, “synthesis”, and “characterization” in the clusters of terms indicated the predominance of the experimental method of research circling the three areas of research stated above. The n-gram modelling revealed “molecular docking” and “molecular docking studies” as the most frequent bigram and trigram.  It further showed that “breast cancer” among the types of cancer is the most crucial area of research.  UGC mainly funded experimental research on “cancer” during 2023.  Extensive research on abstracts and full publications texts could offer a more comprehensive insight into prevailing research trends.},
}