NUSS: Mixed N-Grams and Unigram Sequence Segmentation

Segmentation of short text sequences - like hashtags - into the separated words sequence, done with the use of dictionary, which may be built on custom corpus of texts. Unigram dictionary is used to find most probable sequence, and n-grams approach is used to determine possible segmentation given the text corpus.

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	dplyr, magrittr, Rcpp, stringr, text2vec, textclean, utils
LinkingTo:	BH, Rcpp
Suggests:	testthat (≥ 3.0.0)
Published:	2024-08-19
DOI:	10.32614/CRAN.package.NUSS
Author:	Oskar Kosch [aut, cre]
Maintainer:	Oskar Kosch <contact at oskarkosch.com>
BugReports:	https://github.com/theogrost/NUSS/issues
License:	GPL (≥ 3)
URL:	https://github.com/theogrost/NUSS
NeedsCompilation:	yes
Language:	en
Materials:	README
CRAN checks:	NUSS results

Documentation:

Reference manual:

NUSS.pdf

Downloads:

Package source:	NUSS_0.1.0.tar.gz
Windows binaries:	r-devel: NUSS_0.1.0.zip, r-release: NUSS_0.1.0.zip, r-oldrel: NUSS_0.1.0.zip
macOS binaries:	r-release (arm64): NUSS_0.1.0.tgz, r-oldrel (arm64): NUSS_0.1.0.tgz, r-release (x86_64): NUSS_0.1.0.tgz, r-oldrel (x86_64): NUSS_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NUSS to link to this page.