scrubber

text.var

logical If <code>TRUE</code> replaces a numbers with text
representations.

num2word

logical If <code>TRUE</code> removes any <code>"</code>.

rm.quote

logical If <code>TRUE</code> removes any spaces before a comma.

fix.comma

logical.  If <code>TRUE</code> extra spaces before endmarks are
removed.

fix.space

Other arguments passed to <code><a href="/link/replace_number?package=qdap&version=2.2.4&to=qdap" rd-options="qdap" data-mini-rdoc="qdap::replace_number">replace_number</a></code>.

Use to clean text variables when importing a new data set.  Removes extra
white spaces other textual anomalies that may cause errors.

parse

clean

Automates many of the tasks associated with quantitative
        discourse analysis of transcripts containing discourse
        including frequency counts of sentence types, words, sentences,
        turns of talk, syllables and other assorted analysis tasks. The
        package provides parsing tools for preparing transcript data.
        Many functions enable the user to aggregate data by any number
        of grouping variables, providing analysis and seamless
        integration with other R packages that undertake higher level
        analysis and visualization of text.  This affords the user a
        more efficient and targeted analysis.  'qdap' is designed for
        transcript analysis, however, many functions are applicable to
        other areas of Text Mining/Natural Language Processing.

scrubber: Clean Imported Text

Description

Usage

Arguments

Value

See Also

Examples