textrecipes: Extra 'Recipes' for Text Processing (original) (raw)
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: | 1.0.6 |
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Depends: | R (≥ 3.6), recipes (≥ 1.0.7) |
Imports: | lifecycle, dplyr, generics (≥ 0.1.0), magrittr, Matrix, purrr, rlang, SnowballC, tibble, tokenizers, vctrs, glue |
LinkingTo: | cpp11 |
Suggests: | covr, data.table, dials (≥ 1.2.0), hardhat, janitor, knitr, modeldata, rmarkdown, sentencepiece, spacyr, stopwords, stringi, testthat (≥ 3.0.0), text2vec, tokenizers.bpe, udpipe, wordpiece |
Published: | 2023-11-15 |
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 |
URL: | https://github.com/tidymodels/textrecipes,https://textrecipes.tidymodels.org/ |
NeedsCompilation: | yes |
SystemRequirements: | "GNU make" |
Materials: | README NEWS |
CRAN checks: | textrecipes results |
Documentation:
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