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: | 0.0.1 |
| Depends: | R (≥ 2.10), recipes (≥ 0.1.4) |
| Imports: | generics, rlang, tokenizers, dplyr, tibble, purrr, SnowballC, stopwords, magrittr, stringr, text2vec |
| Suggests: | covr, testthat, knitr, rmarkdown |
| Published: | 2018-12-17 |
| Author: | Emil Hvitfeldt [aut, cre] |
| Maintainer: | Emil Hvitfeldt <emilhhvitfeldt at gmail.com> |
| BugReports: | https://github.com/tidymodels/textrecipes/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tidymodels/textrecipes |
| NeedsCompilation: | no |
| SystemRequirements: | GNU make, C++11 |
| Materials: | README NEWS |
| CRAN checks: | textrecipes results |
| Reference manual: | textrecipes.pdf |
| Vignettes: |
Cookbook - Using more complex recipes involving text |
| Package source: | textrecipes_0.0.1.tar.gz |
| Windows binaries: | r-devel: textrecipes_0.0.1.zip, r-release: textrecipes_0.0.1.zip, r-oldrel: textrecipes_0.0.1.zip |
| OS X binaries: | r-release: textrecipes_0.0.1.tgz, r-oldrel: textrecipes_0.0.1.tgz |
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