Episode 20: Topic modeling

In this video I show how you can use the gensim library, in combination with MALLET, to do topic modeling. I also show a few ways of visualizing the results, including one that is similar to the excellent Signs at 40 topic modeling project: http://signsat40.signsjournal.org --------------------- In this tutorial series I will be covering all of the code I teach in my intro to digital humanities class at Leiden University. You can find all of the code at https://www.github.com/vierth/humanitiesTutorial and the class syllabus at https://www.pvierth.com/s/HackingFall2018.pdf This is designed to help anyone who has never coded learn the basics of Python for text mining and data visualization. We will be using the Anaconda distribution of Python 3, which you can download here: https://www.anaconda.com/download/ Thanks to Leiden University's ECOLe and Thomas Vorisek for all of the video, audio, and editing work! Thanks also to Robin Fleming of Boston College (who suggested the name "Hacking the Humanities") and Austin Mason of Carleton College (for coming up with the name in the first place).