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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>.
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Package details |
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| Author | Chung-hong Chan [aut, cre] (ORCID: <https://orcid.org/0000-0002-6232-7530>) |
| Maintainer | Chung-hong Chan <chainsawtiney@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.0.12 |
| URL | https://gesistsa.github.io/grafzahl/ https://github.com/gesistsa/grafzahl |
| Package repository | View on CRAN |
| Installation |
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