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) <doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA',
    Roberts et al. (2014) <doi:10.1111/ajps.12103> for 'STM', and
    Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> 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
NeedsCompilation: no
Packaged: 2026-01-12 08:51:13 UTC; apple
Author: Praveen D Chougale [aut, cre],
  Usha Ananthakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-17 11:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:52:52 UTC; unix
