Package: NUSS 0.1.0

Oskar Kosch

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.

Authors:Oskar Kosch [aut, cre]

NUSS_0.1.0.tar.gz
NUSS_0.1.0.zip(r-4.7-x86_64)NUSS_0.1.0.zip(r-4.7-arm64)NUSS_0.1.0.zip(r-4.6-x86_64)NUSS_0.1.0.zip(r-4.6-arm64)NUSS_0.1.0.zip(r-4.5-x86_64)
NUSS_0.1.0.tgz(r-4.6-x86_64)NUSS_0.1.0.tgz(r-4.6-arm64)NUSS_0.1.0.tgz(r-4.5-x86_64)NUSS_0.1.0.tgz(r-4.5-arm64)
NUSS_0.1.0.tar.gz(r-4.7-arm64)NUSS_0.1.0.tar.gz(r-4.7-x86_64)NUSS_0.1.0.tar.gz(r-4.6-arm64)NUSS_0.1.0.tar.gz(r-4.6-x86_64)
NUSS_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
NUSS/json (API)

# Install 'NUSS' in R:
install.packages('NUSS', repos = c('https://theogrost.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/theogrost/nuss/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

2.70 score 226 downloads 6 exports 45 dependencies

Last updated from:2e104423fa. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK154
linux-devel-x86_64OK180
source / vignettesOK279
linux-release-arm64OK148
linux-release-x86_64OK164
macos-release-arm64OK149
macos-release-x86_64OK386
macos-oldrel-arm64OK230
macos-oldrel-x86_64OK330
windows-devel-arm64OK351
windows-devel-x86_64OK167
windows-release-arm64OK346
windows-release-x86_64OK121
windows-oldrel-x86_64OK124
wasm-releaseOK134

Exports:igreplngrams_dictionaryngrams_segmentationnussunigram_dictionaryunigram_sequence_segmentation

Dependencies:BHclicpp11data.tabledigestdplyrdttenglishfloatgenericsgluelatticelexiconlgrlifecyclemagrittrMatrixMatrixExtramgsubmlapiNLPpillarpkgconfigpurrrqdapRegexR6RcppRcppArmadilloRhpcBLASctlrlangrsparseslamstringistringrsyuzhettext2vectextcleantextshapetibbletidyrtidyselectutf8vctrswithrzoo