textcounter

Counts total prevalence of a set of items in each of a set of texts.

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

textcounter function

<dl><dt>counted</dt>
<dd>character vector of items to search for in the texts.</dd>
<dt>texts</dt>
<dd>character vector of to-be-searched text.</dd>
<dt>words</dt>
<dd>logical. Default FALSE. Does <code>counted</code> contain words, or sequences of chracters?</dd>
<dt>fixed</dt>
<dd>logical. Default TRUE. Use literal characters instead of regular expressions?</dd>
<dt>start</dt>
<dd>logical. Default FALSE. Does <code>counted</code> only look at the start of a sentence?</dd>
<dt>num_mc_cores</dt>
<dd>integer Number of cores for parallelization. Default is 1.</dd></dl>

Arguments

Text Counter — textcounter

<dl>

<dt>counted</dt>
<dd>character vector of items to search for in the texts.</dd>


<dt>texts</dt>
<dd>character vector of to-be-searched text.</dd>


<dt>words</dt>
<dd>logical. Default FALSE. Does <code>counted</code> contain words, or sequences of chracters?</dd>


<dt>fixed</dt>
<dd>logical. Default TRUE. Use literal characters instead of regular expressions?</dd>


<dt>start</dt>
<dd>logical. Default FALSE. Does <code>counted</code> only look at the start of a sentence?</dd>


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

</dl>

textcounter: Text Counter

Description

Usage

Value

Arguments