Converting text to numerical features requires specifically created procedures, which are implemented as steps according to the 'recipes' package. These steps allows for tokenization, filtering, counting (tf and tfidf) and feature hashing.
Version: 1.1.0 Depends: R (≥ 3.6), recipes (≥ 1.2.0) Imports: cli, lifecycle, dplyr, generics (≥ 0.1.0), magrittr, Matrix, purrr, rlang (≥ 1.1.0), SnowballC, sparsevctrs (≥ 0.3.0), tibble, tokenizers, vctrs, glue Suggests: covr, data.table, dials (≥ 1.2.0), hardhat, janitor, knitr, modeldata, reticulate, rmarkdown, sentencepiece, spacyr, stopwords, stringi, testthat (≥ 3.0.0), text2vec, tokenizers.bpe, udpipe, wordpiece Published: 2025-03-18 DOI: 10.32614/CRAN.package.textrecipes Author: Emil Hvitfeldt [aut, cre], Michael W. Kearney [cph] (author of count_functions), Posit Software, PBC [cph, fnd] Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co> BugReports: https://github.com/tidymodels/textrecipes/issues License: MIT + file LICENSE URL: https://github.com/tidymodels/textrecipes, https://textrecipes.tidymodels.org/ NeedsCompilation: yes SystemRequirements: "GNU make" Materials: README NEWS CRAN checks: textrecipes results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=textrecipes to link to this page.
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