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/>. More information: <doi:10.5117/CCR2023.1.003.CHAN>.

Version:	0.0.11
Depends:	R (≥ 3.5)
Imports:	jsonlite, lime, quanteda, reticulate, utils, stats
Suggests:	knitr, quanteda.textmodels, rmarkdown, testthat (≥ 3.0.0), withr
Published:	2024-03-26
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

Documentation:

Reference manual:	grafzahl.pdf
Vignettes:	Setup Guide

Downloads:

Package source:	grafzahl_0.0.11.tar.gz
Windows binaries:	r-devel: grafzahl_0.0.11.zip, r-release: grafzahl_0.0.11.zip, r-oldrel: grafzahl_0.0.11.zip
macOS binaries:	r-release (arm64): grafzahl_0.0.11.tgz, r-oldrel (arm64): grafzahl_0.0.11.tgz, r-release (x86_64): grafzahl_0.0.11.tgz, r-oldrel (x86_64): grafzahl_0.0.11.tgz
Old sources:	grafzahl archive

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