CRAN/E | grafzahl

grafzahl

Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'

Installation

About

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' . More information: doi:10.5117/CCR2023.1.003.CHAN.

Citation grafzahl citation info
gesistsa.github.io/grafzahl/
github.com/gesistsa/grafzahl
Bug report File report

Key Metrics

Version 0.0.11
R ≥ 3.5
Published 2024-03-26 37 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks grafzahl results

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Maintainer

Maintainer

Chung-hong Chan

chainsawtiney@gmail.com

Authors

Chung-hong Chan

aut / cre

Material

Reference manual
Package source

Vignettes

Setup Guide

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

grafzahl archive

Depends

R ≥ 3.5

Imports

jsonlite
lime
quanteda
reticulate
utils
stats

Suggests

knitr
quanteda.textmodels
rmarkdown
testthat ≥ 3.0.0
withr