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

<p>Pre-process data to replace one or more white space character with a single 
space.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>The character vector.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>ignored.</p>
</td>
</tr>
</table>

<p>Returns a vector of character strings with escaped characters removed.
</p>

x <- "I go \r
    to   the \tnext line"
x
replace_white(x)

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

replace_white

Description

Usage

Arguments

Value

Examples

textclean

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`x`	The character vector.
`...`	ignored.