Blog Archives

Sefaria in Gephi: Seeing Links in Jewish Literature

How do you visualize 87,000 links between Jewish texts? The answer, at least when one is working on an ordinary iMac, is very slowly. The better–by which I mean more accurate and productive–question is: How do you meaningfully visualize the

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#engl236 and The Future of DH as Envisioned by my Classmates

I’m not usually a prolific tweeter. I tend to find between 1 and 5 interesting tweets each day (or every other week when I get distracted) and retweet them. But Tuesday, as those of you who follow me might have

Posted in Ludic Analytics Crossposts

Revisiting the Social Networks of Daniel Deronda

My twitterstream overflowed, in the past few days, with tweets about the uses, misuses and limits of social networking.* Coincidentally (or perhaps not, given the identity of at least one retweeter), we discussed the role of social network graphs in

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Bar Graphs and Human Selectiveness

Two weeks worth of struggling with R and putting in my own texts (feel free to guess which one I used) has left me feeling less accomplished than I would have liked, but less filled with encroaching terror as well.

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I Blog Therefore I Am Doing Something

There’s not much to report on the visualization front this week. I have created a couple of elementary (actually, closer to Kindergarten) graphs in R by following the instructions in Matthew Jockers’ excellent book,┬áText Analysis with R for Students of

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MALLET redux

I considered many alternative titles for this post: “I Think We’re Gonna Need a Bigger Corpus” “Long Book is Long” “The Nail is Bigger, but the MALLET Remains the Same” “Corpo-reality: The Truth About Large Data Sets” (I reserve the

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Hammering at Daniel Deronda

This time, we are using a MALLET! (I apologize for the pun, but it does not seem to get old). MALLET stands for MAchine Learning for LanguagE Toolkit and is proof that, among other things, there is no such thing

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