Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them with more analysis friendly substrings. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The 'replace_emoticon' function replaces emoticons with word equivalents.
Version: | 0.5.1 |
Depends: | R (≥ 3.2.3) |
Imports: | english (≥ 1.0-2), lexicon (≥ 0.6.2), qdapRegex, stringi, textshape (≥ 1.0.1), utils |
Suggests: | testthat |
Published: | 2017-12-12 |
Author: | Tyler Rinker [aut, cre] |
Maintainer: | Tyler Rinker <tyler.rinker at gmail.com> |
BugReports: | http://github.com/trinker/textclean/issues |
License: | GPL-2 |
URL: | http://github.com/trinker/textclean |
NeedsCompilation: | no |
Citation: | textclean citation info |
Materials: | README NEWS |
CRAN checks: | textclean results |
Reference manual: | textclean.pdf |
Package source: | textclean_0.5.1.tar.gz |
Windows binaries: | r-devel: textclean_0.5.1.zip, r-release: textclean_0.5.1.zip, r-oldrel: textclean_0.5.1.zip |
OS X El Capitan binaries: | r-release: textclean_0.5.1.tgz |
OS X Mavericks binaries: | r-oldrel: textclean_0.5.1.tgz |
Old sources: | textclean archive |
Reverse imports: | sentimentr, syllable, textstem |
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