dnb_label_distribution

<p>A subset of labels used in the catalogue of the DNB along with their
frequencies of occurrence. The label_ids match those in the
<code>dnb_gold_standard</code> and <code>dnb_test_predictions</code> datasets.</p>

datasets

Perform evaluation of automatic subject
indexing methods. The main focus of the package is to enable efficient
computation of set retrieval and ranked retrieval metrics across multiple
dimensions of a dataset, e.g. document strata or subsets of the label set.
The package also provides the possibility of computing bootstrap confidence
intervals for all major metrics, with seamless integration of parallel
computation and propensity scored variants of standard metrics.

Maximilian Kähler

casimir

Comparing Automated Subject Indexing Methods in R

Markus Schumacher

Deutsche Nationalbibliothek 

dnb_label_distribution function


<div class="section" id="dnb-label-distribution">
<h3><code>dnb_label_distribution</code></h3><p></p><p>
</p><p>A data frame with 7,772 rows and 3 columns:</p><dl>
<dt><code>label_id</code></dt>
<dd><p>DNB identifier of a concept in the GND subject
vocabulary.</p></dd><p></p><p><dt><code>label_freq</code></dt>
<dd><p>Number of occurences of the specified label in the
overall catalogue.</p></dd></p><p><dt><code>n_docs</code></dt>
<dd><p>Overall number of documents in the ground truth
dataset.</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

DNB label distribution for computing propensity scored metrics — dnb_label_distribution


<div class='section' id='dnb-label-distribution'>
<h3><code>dnb_label_distribution</code></h3>


<p>A data frame with 7,772 rows and 3 columns:</p><dl>
<dt><code>label_id</code></dt>
<dd><p>DNB identifier of a concept in the GND subject
vocabulary.</p></dd>

<dt><code>label_freq</code></dt>
<dd><p>Number of occurences of the specified label in the
overall catalogue.</p></dd>

<dt><code>n_docs</code></dt>
<dd><p>Overall number of documents in the ground truth
dataset.</p></dd>


</dl>

</div>


dnb_label_distribution: DNB label distribution for computing propensity scored metrics

Description

Usage

Arguments

Format

`dnb_label_distribution`