LDAShiny - Shiny Application for Topic Modeling of Scientific Literature
A 'shiny' application that guides users through an
exploratory review of scientific literature using Latent
Dirichlet Allocation (LDA) topic modeling. It imports
bibliometric records exported from databases such as 'Scopus'
and 'Web of Science', performs text preprocessing, helps select
the number of topics, fits the final model, and visualizes the
results and the evolution of topics over time. The methodology
is described in De la Hoz-M et al. (2021)
<doi:10.3390/math9141671>.
