plot.polarity_score

Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse
including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted
analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user
to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R
packages that undertake higher level analysis and visualization of text. This affords the user a more efficient
and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other
areas of Text Mining/ Natural Language Processing.

Tyler Rinker

qdap

Bridging the Gap Between Qualitative Data and Quantitative
Analysis

Bryan Goodrich

Dason Kurkiewicz

plot.polarity_score function

<dl><dt>x</dt>
<dd>The polarity_score object.</dd>
<dt>error.bar.height</dt>
<dd>The height of the error bar ends.</dd>
<dt>error.bar.size</dt>
<dd>The size/thickness of the error bars.</dd>
<dt>error.bar.alpha</dt>
<dd>The alpha level of the error bars.</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Plots a polarity_score Object — plot.polarity_score

<dl>

<dt>x</dt>
<dd>The polarity_score object.</dd>


<dt>error.bar.height</dt>
<dd>The height of the error bar ends.</dd>


<dt>error.bar.size</dt>
<dd>The size/thickness of the error bars.</dd>


<dt>error.bar.alpha</dt>
<dd>The alpha level of the error bars.</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

plot.polarity_score: Plots a polarity_score Object

Description

Usage

Arguments