Mixed N-Grams and Unigram Sequence Segmentation R package NUSS version 0.1.0 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. Software Depends: R (>= 3.5) Imports: dplyr, magrittr, Rcpp, stringr, text2vec, textclean, utils LinkingTo: BH, Rcpp Suggests: testthat (>= 3.0.0) Oskar Kosch <contact@oskarkosch.com> Comprehensive R Archive Network (CRAN) Oskar Kosch [aut, cre] (ORCID: <https://orcid.org/0000-0003-2697-1393>) GPL (>= 3) 2024-08-19 application/tgz https://CRAN.R-project.org/package=NUSS doi:10.32614/CRAN.package.NUSS en