Playing with visual text analysis using Voyant

As I’ve started to dip my toes into the DH current, one thing I’ve been excited to play with is visual presentations of text analysis. Until I hadn’t had a strong need for it, but with the approaching SCI survey of alt-academics and the analysis it will entail, I finally have a good reason to start exploring what’s out there.

The first tool I’ve checked out is Voyant (developed by Stéfan Sinclair and Geoffrey Rockwell as part of their project), which allows you to upload a document, point to a URL, or copy text; it can analyze a single document or a corpus. I uploaded my dissertation as a sample and, after stripping out articles and such (which the tool makes very easy), I got a nifty word cloud:

Below it, Voyant displays a list of words by frequency. Checking boxes next to one or more words gives a distribution of word appearance in the document or corpus. Here are three commonly appearing words charted through the diss:

I found it interesting to see that while I clearly used the word “trauma” a ton, the places where it appeared the most were in the intro and conclusion–suggesting that I relied on the term when I was pulling my argument together, but much less in the actual analysis. A section below the chart shows the context of the selected words in a table that can be sorted in a variety of ways. All the data in each section can be exported in a number of formats, too, for use in other sites or documents. (More than ever, I’m feeling pinched by having my blog hosted by, which doesn’t support things like iFrames; I hope to get a more flexible set-up going before too long.)

There’s a lot more that Voyant can do, and I’m looking forward to playing with it (and other tools) a lot more as I get a clearer sense of what kind of analysis I want to do. More soon!


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