<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bgorges on Journal of Digital Humanities</title><link>https://journalofdigitalhumanities.org/author/bgorges/</link><description>Recent content in Bgorges on Journal of Digital Humanities</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 01 Dec 2011 00:00:00 +0000</lastBuildDate><atom:link href="https://journalofdigitalhumanities.org/author/bgorges/index.xml" rel="self" type="application/rss+xml"/><item><title>Review of Bookworm, produced by Benjamin Schmidt, Martin Camacho, et al.</title><link>https://journalofdigitalhumanities.org/1-1/bookworm/</link><pubDate>Thu, 01 Dec 2011 00:00:00 +0000</pubDate><guid>https://journalofdigitalhumanities.org/1-1/bookworm/</guid><description>&lt;p&gt;&lt;a href="http://bookworm.culturomics.org" title="Bookworm"&gt;Bookworm&lt;/a&gt; is a tool that allows users to create visualizations charting the use of words or phrases in selected large corpora over specified periods of time. The software was developed by a group of researchers at the &lt;a href="http://www.culturomics.org/cultural-observatory-at-harvard" title="Culturomics, the Cultural Observatory at Harvard"&gt;Harvard University Cultural Observatory&lt;/a&gt; &lt;sup id="fnref:1"&gt;&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref"&gt;1&lt;/a&gt;&lt;/sup&gt; as a follow-up to the 2010 project that resulted in &lt;a href="http://www.sciencemag.org/content/early/2010/12/15/science.1199644" title="Michel Jean-Baptiste, et al. 'Quantitative Analysis of Culture Using Millions of Digitized Books'"&gt;a cover story in &lt;em&gt;Science&lt;/em&gt;&lt;/a&gt;, the &lt;a href="http://books.google.com/ngrams" title="GoogleBooks, Ngram Viewer"&gt;Google Books Ngram Viewer&lt;/a&gt;, and the coining of the term &lt;a href="https://en.wikipedia.org/wiki/Culturomics" title="Wikipedia entry, 'Culturomics'"&gt;‘culturomics’&lt;/a&gt;. Bookworm development is still in its alpha phase, but already the software shows great promise as a tool for scholarly exploration of historical trends in large collections of books.&lt;/p&gt;</description></item></channel></rss>