DESCRIPTION

Package: grafzahl
Title: Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'
Version: 0.0.11
Authors@R: 
    person("Chung-hong", "Chan", , "chainsawtiney@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6232-7530"))
Description: Duct tape the 'quanteda' ecosystem (Benoit et al., 2018) <doi:10.21105/joss.00774> to modern Transformer-based text classification models (Wolf et al., 2020) <doi:10.18653/v1/2020.emnlp-demos.6>, in order to facilitate supervised machine learning for textual data. This package mimics the behaviors of 'quanteda.textmodels' and provides a function to setup the 'Python' environment to use the pretrained models from 'Hugging Face' <https://huggingface.co/>. More information: <doi:10.5117/CCR2023.1.003.CHAN>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
URL: https://gesistsa.github.io/grafzahl/, https://github.com/gesistsa/grafzahl
BugReports: https://github.com/gesistsa/grafzahl/issues
Suggests: 
    knitr,
    quanteda.textmodels,
    rmarkdown,
    testthat (>= 3.0.0),
    withr
Config/testthat/edition: 3
Imports: 
    jsonlite,
    lime,
    quanteda,
    reticulate,
    utils,
    stats
LazyData: true
Depends: 
    R (>= 3.5)
VignetteBuilder: knitr
Config/Needs/website: gesistsa/tsatemplate