get_sent_values

Assigns sentiment values to words based on preloaded dictionary. The default is the syuzhet 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 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_sent_values function

<dl><dt>char_v</dt>
<dd>A string</dd>
<dt>method</dt>
<dd>A string indicating which sentiment dictionary to use</dd>
<dt>lexicon</dt>
<dd>A data frame with with at least two columns named word and value. Works with "nrc" or "custom" method. If using custom method, you must load a custom lexicon as a data frame with aforementioend columns.</dd></dl>

Arguments

Assigns Sentiment Values — get_sent_values

<dl>

<dt>char_v</dt>
<dd>A string</dd>


<dt>method</dt>
<dd>A string indicating which sentiment dictionary to use</dd>


<dt>lexicon</dt>
<dd>A data frame with with at least two columns named word and value. Works with "nrc" or "custom" method. If using custom method, you must load a custom lexicon as a data frame with aforementioend columns.</dd>

</dl>

get_sent_values: Assigns Sentiment Values

Description

Usage

Value

Arguments