Abstract
AbstractTopic modeling is a highly useful method that can provide new ways to understand the past. In order to reach the full potential of the method, the researcher needs to understand the context, the specifics of the data, and how the algorithm works and know the research literature. This chapter demonstrates how topic modeling can be applied in the studies of Russian and East European history. It illustrates the choices a researcher will face and the needed steps for preparing a data set for topic modeling, and shows how the interpretation of topic modeling results works in practice. The chapter also addresses the question of the scattered nature of digitized collections of Russian history sources, and the associated challenges and opportunities in this context.
Publisher
Springer International Publishing
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