grafzahl: Supervised Machine Learning for Textual Data Using Transformersand 'Quanteda'
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>.
| Version: | 0.0.12 |
| Depends: | R (≥ 3.5) |
| Imports: | jsonlite,lime,quanteda,reticulate, utils, stats |
| Suggests: | knitr,quanteda.textmodels,rmarkdown,testthat (≥ 3.0.0),withr |
| Published: | 2025-06-18 |
| DOI: | 10.32614/CRAN.package.grafzahl |
| Author: | Chung-hong Chan [aut, cre] |
| Maintainer: | Chung-hong Chan <chainsawtiney at gmail.com> |
| BugReports: | https://github.com/gesistsa/grafzahl/issues |
| License: | GPL (≥ 3) |
| URL: | https://gesistsa.github.io/grafzahl/,https://github.com/gesistsa/grafzahl |
| NeedsCompilation: | no |
| Citation: | grafzahl citation info |
| CRAN checks: | grafzahl results |
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