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.
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