Topic models are a computational method of identifying and grouping interrelated words in any set of texts. In 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. This will be a conversation about topic models as a tool and method for digital humanities research. In part 2, we will actually construct some topic models using MALLET.
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ALL WORKSHOPS ARE SPONSORED BY THE GRADUATE COLLEGE AND RESEARCH AND INFORMATION SERVICES AND THE SCHOLARLY COMMONS, UNIVERSITY LIBRARY.