get_nrc_values

word_vector

language

A data frame with at least the columns "word", "sentiment" and "value". If NULL, internal data will be taken.

lexicon

Access the NRC dictionary to compute emotion types and
valence for a set of words in the input vector.

Extracts sentiment and sentiment-derived plot arcs
from text using a variety of sentiment dictionaries conveniently
packaged for consumption by R users.  Implemented dictionaries include
"syuzhet" (default) developed in the Nebraska Literary Lab
"afinn" developed by Finn Årup Nielsen, "bing" developed by Minqing Hu
and Bing Liu, and "nrc" developed by Mohammad, Saif M. and Turney, Peter D.
Applicable references are available in README.md and in the documentation
for the "get_sentiment" function.  The package also provides a hack for
implementing Stanford's coreNLP sentiment parser. The package provides
several methods for plot arc normalization.

Matthew Jockers

syuzhet

Extracts Sentiment and Sentiment-Derived Plot Arcs from Text

get_nrc_values function

<dl><dt>word_vector</dt>
<dd>A character vector.</dd>
<dt>language</dt>
<dd>A string</dd>
<dt>lexicon</dt>
<dd>A data frame with at least the columns "word", "sentiment" and "value". If NULL, internal data will be taken.</dd></dl>

Arguments

Summarize NRC Values — get_nrc_values

<dl>

<dt>word_vector</dt>
<dd>A character vector.</dd>


<dt>language</dt>
<dd>A string</dd>


<dt>lexicon</dt>
<dd>A data frame with at least the columns "word", "sentiment" and "value". If NULL, internal data will be taken.</dd>

</dl>

get_nrc_values: Summarize NRC Values

Description

Usage

Value

Arguments