The new issue of the Journal of Digital Humanities is out, and I’m really happy to be – along with Shawn Graham of Carleton University – a contributor. In this issue, we’re reviewing the Java-based topic modelling tool MALLET (the MAchine Learning for LanguagE Toolkit). I’m really flattered to be part of the issue, and glad to see several links to our free, open access guide to how to use MALLET in the Programming Historian 2 throughout.
Topic modelling, as the review and Programming Historian 2 piece notes, have been critical parts of my digital toolkit over the last year or so. It’s enabled me to make cursory explorations of very large datasets, from musical lyrics, Canadian history dissertations, dead websites, and even more. Some of the initial euphoria around it being a ‘magic bullet’ for everything have worn off (honestly, the first time you try it, you’ll be hopping off the walls) but it’s an incredible program to use.
If you ever want to chat topic modelling, shoot me an e-mail.