SemNetCleaner: An Automated Cleaning Tool for Semantic and Linguistic Data

Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.

Version: 1.3.4
Depends: R (≥ 3.6.0), SemNetDictionaries (≥ 0.1.8)
Imports: stringdist, searcher, tcltk, foreign, readxl, R.matlab, stringi, rstudioapi, easycsv, shiny, editData, miniUI
Suggests: knitr, htmlTable, markdown, rmarkdown
Published: 2021-09-16
DOI: 10.32614/CRAN.package.SemNetCleaner
Author: Alexander P. Christensen ORCID iD [aut, cre]
Maintainer: Alexander P. Christensen <alexpaulchristensen at>
License: GPL (≥ 3.0)
NeedsCompilation: no
Citation: SemNetCleaner citation info
Materials: NEWS
CRAN checks: SemNetCleaner results


Reference manual: SemNetCleaner.pdf
Vignettes: Network_Estimation


Package source: SemNetCleaner_1.3.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SemNetCleaner_1.3.4.tgz, r-oldrel (arm64): SemNetCleaner_1.3.4.tgz, r-release (x86_64): SemNetCleaner_1.3.4.tgz, r-oldrel (x86_64): SemNetCleaner_1.3.4.tgz
Old sources: SemNetCleaner archive

Reverse dependencies:

Reverse imports: scicomptools
Reverse suggests: SemNeT


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