get_percentage_values

Chunks text into 100 Percentage based segments and calculates means.

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_percentage_values function

<dl><dt>raw_values</dt>
<dd>Raw sentiment values</dd>
<dt>bins</dt>
<dd>The number of bins to split the input vector.
Default is 100 bins.</dd></dl>

Arguments

Chunk a Text and Get Means — get_percentage_values

<dl>

<dt>raw_values</dt>
<dd>Raw sentiment values</dd>


<dt>bins</dt>
<dd>The number of bins to split the input vector.
Default is 100 bins.</dd>

</dl>

get_percentage_values: Chunk a Text and Get Means

Description

Usage

Value

Arguments