Zitationsvorschlag
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Topic Modeling
Abstract Topic Modeling is a method used in the Digital Humanities to examine the thematic structure of large collections of texts. This chapter offers an introduction to its methodological foundations. In addition to an overview of various Topic Modeling algorithms and their respective fields of application, the article focuses on central workflow aspects, such as the preparation of the text data (preprocessing) and evaluation of the modeling results. The aim is to provide a solid basis for the critically reflected use of Topic Modeling in theological research.
Keywords Topic Modeling, Text Mining, Quantitative Text Analysis, Machine Learning, Natural Language Processing, Blended Reading, Distant Reading
