unnest_tweets

internal

Using tidy data principles can make many text mining tasks
easier, more effective, and consistent with tools already in wide use.
Much of the infrastructure needed for text mining with tidy data
frames already exists in packages like 'dplyr', 'broom', 'tidyr', and
'ggplot2'. In this package, we provide functions and supporting data
sets to allow conversion of text to and from tidy formats, and to
switch seamlessly between tidy tools and existing text mining
packages.

Julia Silge

tidytext

Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Gabriela De Queiroz

Colin Fay

Emil Hvitfeldt

Os Keyes

Kanishka Misra

Tim Mastny

Jeff Erickson

David Robinson

unnest_tweets function

<dl><dt>tbl</dt>
<dd>A data frame</dd>
<dt>output</dt>
<dd>Output column to be created as string or symbol.</dd>
<dt>input</dt>
<dd>Input column that gets split as string or symbol.
The output/input arguments are passed by expression and support
<a href="https://rlang.r-lib.org/reference/topic-inject.html">quasiquotation</a>; you can unquote strings and symbols.</dd>
<dt>...</dt>
<dd>Extra arguments passed on to <a href="/link/tokenizers?package=tidytext&version=0.4.2" data-mini-rdoc="tidytext::tokenizers">tokenizers</a></dd></dl>

Arguments

Wrapper around unnest_tokens for tweets — unnest_tweets

<dl>

<dt>tbl</dt>
<dd>A data frame</dd>


<dt>output</dt>
<dd>Output column to be created as string or symbol.</dd>


<dt>input</dt>
<dd>Input column that gets split as string or symbol.
The output/input arguments are passed by expression and support
<a href='https://rlang.r-lib.org/reference/topic-inject.html'>quasiquotation</a>; you can unquote strings and symbols.</dd>


<dt>...</dt>
<dd>Extra arguments passed on to <a href='https://rdrr.io/pkg/tokenizers/man/tokenizers.html'>tokenizers</a></dd>

</dl>

unnest_tweets: Wrapper around unnest_tokens for tweets

Description

Usage

Arguments

See Also