# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		R-tidytext
VERSION=		0.4.3
KEYWORDS=		cran
VARIANTS=		std
SDESC[std]=		Text mining tool
HOMEPAGE=		https://juliasilge.github.io/tidytext/
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
			https://loki.dragonflybsd.org/cranfiles/
DISTFILE[1]=		tidytext_0.4.3.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[std]=		single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILDRUN_DEPENDS=	R-cli:single:std
			R-dplyr:single:std
			R-generics:single:std
			R-janeaustenr:single:std
			R-lifecycle:single:std
			R-purrr:single:std
			R-rlang:single:std
			R-stringr:single:std
			R-tibble:single:std
			R-tokenizers:single:std
			R-vctrs:single:std

USES=			cran gmake

DISTNAME=		tidytext

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:542:descriptions/desc.single]
tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Using tidy data principles can make many text mining tasks easier, more
effective, and consistent with tools already in wide use. Much of the
infrastructure needed for text mining with tidy data frames already exists
in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package,
we provide functions and supporting data sets to allow conversion of text
to and from tidy formats, and to switch seamlessly between tidy tools and
existing text mining packages.


[FILE:105:distinfo]
993be302d9c9a668e364669b62a50b756e92290d063c816298d67c25f1e597d9      2718413 CRAN/tidytext_0.4.3.tar.gz