Today, we held a workshop on topic modeling, a common DH method used in finding common themes across large bodies of texts that humans wouldn’t be able to analyze. We looked into LDA, or Latent Dirichlet Allocation, a specific topic modeling tool available through Python.
Find the source code for today’s project on our GitHub here.
We’ve recorded the session, and the video is available in our Box or at this link!
Our next meeting is a semester wrap-up on Monday, November 28.