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 [aut, cre]
Maintainer:	Alexander P. Christensen <alexpaulchristensen at gmail.com>
BugReports:	https://github.com/AlexChristensen/SemNetCleaner/issues
License:	GPL (≥ 3.0)
URL:	https://github.com/AlexChristensen/SemNetCleaner
NeedsCompilation:	no
Citation:	SemNetCleaner citation info
Materials:	NEWS
CRAN checks:	SemNetCleaner results

Documentation:

Reference manual:	SemNetCleaner.pdf
Vignettes:	Network_Estimation Preprocessing_Semantic_Data

Downloads:

Package source:	SemNetCleaner_1.3.4.tar.gz
Windows binaries:	r-devel: SemNetCleaner_1.3.4.zip, r-release: SemNetCleaner_1.3.4.zip, r-oldrel: SemNetCleaner_1.3.4.zip
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

Linking:

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