Package: SportMiner Type: Package Title: Text Mining and Topic Modeling for Sport Science Literature Version: 0.1.0 Authors@R: c( person("Praveen D", "Chougale", email = "praveenmaths89@gmail.com", role = c("aut", "cre")), person("Usha", "Ananthakumar", email = "usha@som.iitb.ac.in", role = "aut") ) Description: A comprehensive toolkit for mining, analyzing, and visualizing scientific literature in sport science domains. Provides functions for retrieving abstracts from 'Scopus', preprocessing text data, performing advanced topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'), and creating publication-ready visualizations including keyword co-occurrence networks and topic trends. For methodological details see Blei et al. (2003) for 'LDA', Roberts et al. (2014) for 'STM', and Blei and Lafferty (2007) for 'CTM'. License: MIT + file LICENSE URL: https://github.com/praveenmaths89/SportMiner BugReports: https://github.com/praveenmaths89/SportMiner/issues Encoding: UTF-8 Depends: R (>= 4.0.0) Imports: rscopus, dplyr, tidytext, topicmodels, stm, ggplot2, rlang, SnowballC, scales, textmineR, Matrix, tidyr, ggraph, igraph, widyr, magrittr, slam Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr RoxygenNote: 7.3.3 VignetteBuilder: knitr Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libglpk-dev make libgsl0-dev libicu-dev libxml2-dev libssl-dev Repository: https://praveenmaths89.r-universe.dev Date/Publication: 2026-08-20 08:56:58 UTC RemoteUrl: https://github.com/praveenmaths89/sportminer RemoteRef: HEAD RemoteSha: 3ad913719731701def90eb87b7a1dd1836289ae5 NeedsCompilation: no Packaged: 2026-10-19 09:03:36 UTC; root Author: Praveen D Chougale [aut, cre], Usha Ananthakumar [aut] Maintainer: Praveen D Chougale