Extra 'Recipes' for Text Processing

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.


Reference manual

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0.0.1 by Emil Hvitfeldt, a month ago


Report a bug at https://github.com/tidymodels/textrecipes/issues

Browse source code at https://github.com/cran/textrecipes

Authors: Emil Hvitfeldt [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports generics, rlang, tokenizers, dplyr, tibble, purrr, SnowballC, stopwords, magrittr, stringr, text2vec

Depends on recipes

Suggests covr, testthat, knitr, rmarkdown

System requirements: GNU make, C++11

See at CRAN