summary,MetaNLP-method

Returns a quick overview over the \(n\) most frequent word stems structured
into included and excluded papers.

Given a CSV file with titles and abstracts, the package creates a
document-term matrix that is lemmatized and stemmed and can directly be used to
train machine learning methods for automatic title-abstract screening in the
preparation of a meta analysis.

Maximilian Pilz

MetaNLP

Natural Language Processing for Meta Analysis

Nico Bruder

Samuel Zimmermann

Johannes Vey

Institute of Medical Biometry - University of Heidelberg 

summary,MetaNLP-method function

<dl><dt>object</dt>
<dd>An object of class MetaNLP.</dd>
<dt>n</dt>
<dd>Number of most frequent words to be displayed.</dd>
<dt>stop_words</dt>
<dd>Boolean to decide whether stop words shall be included in
the summary. <code>stop_words = TRUE</code> means, that stop words are included.</dd>
<dt>...</dt>
<dd>Additional parameters for <code>delete_stop_words</code> (e.g. language
of the stop words).</dd></dl>

Arguments

Summary of MetaNLP-objects — summary,MetaNLP-method

<dl>

<dt>object</dt>
<dd>An object of class MetaNLP.</dd>


<dt>n</dt>
<dd>Number of most frequent words to be displayed.</dd>


<dt>stop_words</dt>
<dd>Boolean to decide whether stop words shall be included in
the summary. <code>stop_words = TRUE</code> means, that stop words are included.</dd>


<dt>...</dt>
<dd>Additional parameters for <code>delete_stop_words</code> (e.g. language
of the stop words).</dd>

</dl>

summary,MetaNLP-method: Summary of MetaNLP-objects

Description

Usage

Value

Arguments

Examples