Extra 'Recipes' for Text Processing R package textrecipes version 1.1.0 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. Software 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 Emil Hvitfeldt <emil.hvitfeldt@posit.co> Comprehensive R Archive Network (CRAN) Emil Hvitfeldt [aut, cre] (ORCID: <https://orcid.org/0000-0002-0679-1945>), Michael W. Kearney [cph] (author of count_functions), Posit Software, PBC [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=textrecipes/LICENSE) 2025-03-18 application/tgz https://CRAN.R-project.org/package=textrecipes doi:10.32614/CRAN.package.textrecipes