The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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:

Please use the canonical form https://CRAN.R-project.org/package=SemNetCleaner to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.