review_info-class

Class 'review' is an S3 class designed to store data from the shiny app launched by <code>start_review_window</code>. This is important because it stores the many decisions that users might make about inclusion or exclusion of individual references from the corpus, information that will be needed for later stages of the review. Class review_info can also be passed to <code>start_review_window</code> to continue working on a previously altered dataset.

Researchers commonly need to summarize scientific information, a process known as 'evidence synthesis'. The first stage of a synthesis process (such as a systematic review or meta-analysis) is to download a list of references from academic search engines such as 'Web of Knowledge' or 'Scopus'. This information can be sorted manually (the traditional approach to systematic review), or the user can draw on tools from machine learning to help them visualise patterns in the corpus. 'revtools' uses topic models to render ordinations of text drawn from article titles, keywords and abstracts, and allows the user to interactively select or exclude individual references, words or topics. 'revtools' does not currently provide tools for analysis of data drawn from those references, features that are available in other packages such as 'metagear' or 'metafor'.

Martin J Westgate

revtools

Tools to Support Evidence Synthesis

review_info-class function

Class 'review_info' has five slots containing the following information:<ul>
<li>info duplicate of data passed to <code>start_review_window</code></li>
<li>dtm document-term matrix, created by <code>make_DTM</code></li>
<li>model most recent topic model</li>
<li>plotinfo data listing points to be plotted in <code>start_review_window</code></li>
<li>infostore data listing decisions about inclusion/exclusion of references, words or topics</li>
</ul>

review_info-class: Description of class 'review_info'

Description

Arguments

slots