R4WSItasktest

Data of 15 example R4WSI0 Tasks structured as a matrix.

datasets

By creating crowd-sourcing tasks that can be easily posted and results retrieved using Amazon's Mechanical Turk (MTurk) API, researchers can use this solution to validate the quality of topics obtained from unsupervised or semi-supervised learning methods, and the relevance of topic labels assigned. This helps ensure that the topic modeling results are accurate and useful for research purposes. See Ying and others (2022) <doi:10.1101/2023.05.02.538599>. For more information, please visit <https://github.com/Triads-Developer/Topic_Model_Validation>.

Luwei Ying

validateIt

Validating Topic Coherence and Topic Labels

Jacob Montgomery

Brandon Stewart

R4WSItasktest function

A matrix with 15 rows and 6 columns.<dl>
<dt><code>topic</code></dt>
<dd>Index of topics</dd><dt><code>doc</code></dt>
<dd>Example documents associated with each topic</dd><dt><code>opt1</code></dt>
<dd>Words set option 1</dd><dt><code>opt2</code></dt>
<dd>Words set option 2</dd><dt><code>opt3</code></dt>
<dd>Words set option 3</dd><dt><code>optcrt</code></dt>
<dd>Words set option 4, also the correct choice</dd>
</dl>

Format

Example R4WSI0 Tasks — R4WSItasktest

A matrix with 15 rows and 6 columns.<dl>
<dt><code>topic</code></dt>
<dd>Index of topics</dd>

<dt><code>doc</code></dt>
<dd>Example documents associated with each topic</dd>

<dt><code>opt1</code></dt>
<dd>Words set option 1</dd>

<dt><code>opt2</code></dt>
<dd>Words set option 2</dd>

<dt><code>opt3</code></dt>
<dd>Words set option 3</dd>

<dt><code>optcrt</code></dt>
<dd>Words set option 4, also the correct choice</dd>


</dl>

R4WSItasktest: Example R4WSI0 Tasks

Description

Usage

Arguments

Format

Details