Where to start with text mining

Where to start with text mining by Ted Underwood.

From the post:

This post is less a coherent argument than an outline of discussion topics I’m proposing for a workshop at NASSR2012 (a conference of Romanticists). But I’m putting this on the blog since some of the links might be useful for a broader audience. Also, we won’t really cover all this material, so the blog post may give workshop participants a chance to explore things I only gestured at in person.

In the morning I’ll give a few examples of concrete literary results produced by text mining. I’ll start the afternoon workshop by opening two questions for discussion: first, what are the obstacles confronting a literary scholar who might want to experiment with quantitative methods? Second, how do those methods actually work, and what are their limits?

I’ll also invite participants to play around with a collection of 818 works between 1780 and 1859, using an R program I’ve provided for the occasion. Links for these materials are at the end of this post.

Something to pass along to any humanities scholars that you know, who aren’t already into text mining.

I first saw this at: primer for digital humanities.

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