get_nrc_sentiment

char_v

language

should tokens be converted to lowercase. Default equals TRUE

lowercase

Calls the NRC sentiment dictionary to calculate
the presence of eight different emotions and their
corresponding valence in a text file.

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_sentiment function

<dl><dt>char_v</dt>
<dd>A character vector</dd>
<dt>cl</dt>
<dd>Optional, for parallel analysis</dd>
<dt>language</dt>
<dd>A string</dd>
<dt>lowercase</dt>
<dd>should tokens be converted to lowercase. Default equals TRUE</dd></dl>

Arguments

Get Emotions and Valence from NRC Dictionary — get_nrc_sentiment

<dl>

<dt>char_v</dt>
<dd>A character vector</dd>


<dt>cl</dt>
<dd>Optional, for parallel analysis</dd>


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


<dt>lowercase</dt>
<dd>should tokens be converted to lowercase. Default equals TRUE</dd>

</dl>

Get Emotions and Valence from NRC Dictionary

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 {\AA}rup 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.

get_nrc_sentiment: Get Emotions and Valence from NRC Dictionary

Description

Usage

Value

Arguments

References