dictWrap

internal

Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness. We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.

Mike Yeomans

politeness

Detecting Politeness Features in Text

Alejandro Kantor

Dustin Tingley

dictWrap function

<dl><dt>text</dt>
<dd>a character vector of texts.</dd>
<dt>dict</dt>
<dd>a dictionary class object (see dictionary) containing dictionaries for six of the politeness features</dd>
<dt>binary</dt>
<dd>return the prevalence (percent of words) or the presence (yes/no) of a feature in each text?</dd>
<dt>num_mc_cores</dt>
<dd>integer Number of cores for parallelization. Default is 1.</dd>
<dt>...</dt>
<dd>arguments passes onto the <code>quanteda:dfm</code> function</dd></dl>

Arguments

Dictionary Wrapper — dictWrap

<dl>

<dt>text</dt>
<dd>a character vector of texts.</dd>


<dt>dict</dt>
<dd>a dictionary class object (see dictionary) containing dictionaries for six of the politeness features</dd>


<dt>binary</dt>
<dd>return the prevalence (percent of words) or the presence (yes/no) of a feature in each text?</dd>


<dt>num_mc_cores</dt>
<dd>integer Number of cores for parallelization. Default is 1.</dd>


<dt>...</dt>
<dd>arguments passes onto the <code>quanteda:dfm</code> function</dd>

</dl>

dictWrap: Dictionary Wrapper

Description

Usage

Value

Arguments