textclean is a collection of tools to clean and normalize text. Many of these tools have been taken from the qdap package and revamped to be more intuitive, better named, and faster.
Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them (normalizing) with more analysis friendly substrings or extracting them into new variables. 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.
This is free and open source software.
Website: github.com/trinker/textclean
Support:
Developer: Tyler Rinker
License: GNU General Public License v2.0
textclean is written in R. Learn R with our recommended free books and free tutorials.
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