Topic models are a computational method of identifying and grouping interrelated words in a set of texts. In the first part of this workshop, we will focus on how topic models work, what kinds of academic questions topic models can help answer, what they allow researchers to see, and what they can obfuscate. After this discussion of topic modeling theory, we will use ConText, a free software tool, to construct and analyze an example topic model. In this part of the workshop, we will will focus on how to correctly set up a model, how to understand the output of the model, and how to refine the model’s parameters for best results. No experience necessary.