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

NAMEBASE=		R-syuzhet
VERSION=		1.0.6
KEYWORDS=		cran
VARIANTS=		standard
SDESC[standard]=	Extracts sentiment-derived plot arcs from text
HOMEPAGE=		https://github.com/mjockers/syuzhet
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
DISTFILE[1]=		syuzhet_1.0.6.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[standard]=	single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILDRUN_DEPENDS=	R-textshape:single:standard
			R-NLP:single:standard
			R-zoo:single:standard
			R-dtt:single:standard
			R-dplyr:single:standard
			R-tidyr:single:standard
			R-rlang:single:standard

USES=			cran gmake

DISTNAME=		syuzhet

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:724:descriptions/desc.single]
syuzhet: Extracts Sentiment and Sentiment-Derived Plot Arcs from Text

Extracts sentiment and sentiment-derived plot arcs from text using a
variety of sentiment dictionaries conveniently packaged for consumption by
R users. Implemented dictionaries include "syuzhet" (default) developed in
the Nebraska Literary Lab "afinn" developed by Finn Årup Nielsen, "bing"
developed by Minqing Hu and Bing Liu, and "nrc" developed by Mohammad, Saif
M. and Turney, Peter D. Applicable references are available in README.md
and in the documentation for the "get_sentiment" function. The package also
provides a hack for implementing Stanford's coreNLP sentiment parser. The
package provides several methods for plot arc normalization.


[FILE:104:distinfo]
fbcb68d060bea5452c4ac60b490c8af039fec6e7d3406505e25100be1a662c9a      3059075 CRAN/syuzhet_1.0.6.tar.gz