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: 1.2.0
Depends: R (≥ 3.6.0), SemNetDictionaries (≥ 0.1.5)
Imports: stringdist, hunspell, searcher, tcltk, foreign, readxl, R.matlab, stringi
Suggests: knitr, rmarkdown, htmlTable
Published: 2020-06-09
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

Downloads:

Reference manual: SemNetCleaner.pdf
Vignettes: Network_Estimation
Preprocessing_Semantic_Data
Package source: SemNetCleaner_1.2.0.tar.gz
Windows binaries: r-devel: SemNetCleaner_1.2.0.zip, r-release: SemNetCleaner_1.2.0.zip, r-oldrel: SemNetCleaner_1.2.0.zip
macOS binaries: r-release: SemNetCleaner_1.2.0.tgz, r-oldrel: SemNetCleaner_1.2.0.tgz
Old sources: SemNetCleaner archive

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