grafzahl: Supervised Machine Learning for Textual Data Using Transformers and '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/>.
| Version: | 0.0.5 |
| Depends: | R (≥ 3.5) |
| Imports: | jsonlite, lime, quanteda, reticulate, utils, stats |
| Suggests: | quanteda.textmodels, testthat (≥ 3.0.0) |
| Published: | 2023-01-20 |
| Author: | Chung-hong Chan 
[aut, cre] |
| Maintainer: | Chung-hong Chan <chainsawtiney at gmail.com> |
| BugReports: | https://github.com/chainsawriot/grafzahl/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/chainsawriot/grafzahl |
| NeedsCompilation: | no |
| Citation: | grafzahl citation info |
| CRAN checks: | grafzahl results |
Documentation:
| Reference manual: | grafzahl.pdf |
Downloads:
| Package source: | grafzahl_0.0.5.tar.gz |
| Windows binaries: | r-devel: grafzahl_0.0.5.zip, r-release: grafzahl_0.0.5.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): grafzahl_0.0.5.tgz, r-oldrel (arm64): grafzahl_0.0.5.tgz, r-release (x86_64): grafzahl_0.0.5.tgz, r-oldrel (x86_64): grafzahl_0.0.5.tgz |
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