Tools to clean and process text. Tools are geared at checking for substrings that
are not optimal for analysis and replacing or removing them (normalizing) with more
analysis friendly substrings (see Sproat, Black, Chen, Kumar, Ostendorf, & Richards
(2001) <doi:10.1006/csla.2001.0169>) 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.

Text Cleaning Tools

package-ubuntu-20.04-r-4.0.5#cran#textclean-0.9.3

A fictitious dataset useful for small demonstrations.

A data frame with 11 rows and 5 variables

<ul>
<li>
 person. Speaker

</li>
<li>
 sex. Gender

</li>
<li>
 adult. Dummy coded adult (0-no; 1-yes)

</li>
<li>
 state. Statement (dialogue)

</li>
<li>
 code. Dialogue coding scheme

</li>
</ul>

package-ubuntu-20.04-r-4.0.5#cran#textclean-0.9.3#docs#DATA

DATA

Description

Usage

Format

Details

textclean

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