text: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning

Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.

Version: 0.9.99.2
Depends: R (≥ 4.00)
Imports: dplyr, tibble, stringi, tidyr, ggplot2, ggrepel, cowplot, rlang, purrr, magrittr, parsnip, recipes, rsample, reticulate, tune, workflows, yardstick, future, furrr, overlapping
Suggests: knitr, rmarkdown, testthat, rio, glmnet, randomForest, covr, xml2, ranger
Published: 2022-09-20
Author: Oscar Kjell ORCID iD [aut, cre], Salvatore Giorgi ORCID iD [aut], Andrew Schwartz ORCID iD [aut]
Maintainer: Oscar Kjell <oscar.kjell at psy.lu.se>
BugReports: https://github.com/OscarKjell/text/issues/
License: GPL-3
URL: https://r-text.org/, https://github.com/OscarKjell/text/
NeedsCompilation: no
SystemRequirements: Python (>= 3.6.0)
Citation: text citation info
Materials: README NEWS
CRAN checks: text results

Documentation:

Reference manual: text.pdf
Vignettes: Word_Embeddings
Computer_Capacity
Extended Installation Guide
Pre-registration
Removing_Cache_Files
Singularity_Container
text

Downloads:

Package source: text_0.9.99.2.tar.gz
Windows binaries: r-devel: text_0.9.99.2.zip, r-release: text_0.9.99.2.zip, r-oldrel: text_0.9.99.2.zip
macOS binaries: r-release (arm64): text_0.9.99.2.tgz, r-oldrel (arm64): text_0.9.99.2.tgz, r-release (x86_64): text_0.9.99.2.tgz, r-oldrel (x86_64): text_0.9.99.2.tgz
Old sources: text archive

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