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.

Documentation

Manual: textclean.pdf
Vignette: None available.

Maintainer: Tyler Rinker <tyler.rinker at gmail.com>

Author(s): Tyler Rinker*

Install package and any missing dependencies by running this line in your R console:

install.packages("textclean")

Depends R (>= 3.2.3)
Imports english(>=1.0-2), qdapRegex, stringi, textshape(>=1.0.1), utils
Suggests testthat, lexicon(>=0.1.0)
Enhances
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sentimentr, syllable
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Package textclean
Materials
URL http://github.com/trinker/textclean
Task Views
Version 0.3.1
Published 2017-02-22
License GPL-2
BugReports http://github.com/trinker/textclean/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks textclean check results
Package source textclean_0.3.1.tar.gz