Pamphlet #8. Computational text analysis as a five-dimensional problem: A model for the description of complexity

by Evelyn Gius.
November 2019

Approaches of computational literary studies are now an integral part of Digital Humanities and are based on a number of established and new procedures that enable computational text analysis with literary research interest. Accordingly, there is a great need for the description and reflection of these approaches, both within the Digital Humanities and with regard to the relationship between computational literary studies and non-computational literary studies. In order to facilitate such reflection, this paper presents a model that captures the complexity of computational text analysis in relation to the phenomena and texts under consideration as well as the findings of the analysis. Specifically, five dimensions are proposed by which any computational text analysis in literary studies – and beyond – can be described: (1) the composition of the analyzed phenomena, (2) the contextualization of the phenomena, (3) the heterogeneity of the considered texts, (4) the mode of analysis, and (5) the cognitive contribution of computational analysis.


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