nma_words

English negators, modals, and adverbs, as a data frame. A few of these
entries are two-word phrases instead of single words.

datasets

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

nma_words function

A data frame with 44 rows and 2 variables:<dl>
<dt>word</dt>
<dd>An English word or bigram</dd><dt>modifier</dt>
<dd>The modifier type for <code>word</code>, either "negator",
"modal", or "adverb"</dd>
</dl>

Format

English negators, modals, and adverbs — nma_words

A data frame with 44 rows and 2 variables:<dl>
<dt>word</dt>
<dd>An English word or bigram</dd>

<dt>modifier</dt>
<dd>The modifier type for <code>word</code>, either "negator",
"modal", or "adverb"</dd>


</dl>

English negators, modals, and adverbs

nma_words: English negators, modals, and adverbs

Description

Usage

Arguments

Format