Package: NUSS
Title: Mixed N-Grams and Unigram Sequence Segmentation
Version: 0.1.0
Authors@R: 
    person("Oskar", "Kosch", , "contact@oskarkosch.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2697-1393"))
Description: 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.
License: GPL (>= 3)
URL: https://github.com/theogrost/NUSS
BugReports: https://github.com/theogrost/NUSS/issues
Depends: R (>= 3.5)
Imports: dplyr, magrittr, Rcpp, stringr, text2vec, textclean, utils
Suggests: testthat (>= 3.0.0)
LinkingTo: BH, Rcpp
Config/testthat/edition: 3
Encoding: UTF-8
Language: en
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: yes
Packaged: 2024-07-31 10:43:30 UTC; theog
Author: Oskar Kosch [aut, cre] (<https://orcid.org/0000-0003-2697-1393>)
Maintainer: Oskar Kosch <contact@oskarkosch.com>
Repository: CRAN
Date/Publication: 2024-08-19 08:20:16 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-06-11 21:51:54 UTC; windows
Archs: x64
