Memory Study in The Danish Girl (2000) by David Ebershoff Through Voyant Text Mining Tools: A Digital Humanities (DH) Study

Abstract

In this digital era, the world has revolutionised its ways of extracting knowledge patterns based on diverse and large texts using a digital humanities (DH) approach and a range of digital text mining tools available to deconstruct and visualise literary texts. This paper attempts to explore the characters of the novel, ‘The Danish Girl’ by David Ebershoff, through the study of their individual or collective memories through Voyant, a text-mining digital tool for textual analysis. Analysis revealed knowledge patterns on memory in the text through the Voyant text mining tool, which recognizes repeating words and phrases and provides insights into the author's language choices and how they relate to memory studies. It provided textual analysis and allowed data visualisation, collocations, and quantitative and qualitative analysis of the text. The study unveils the summary tool features of the overall corpus, cirrus, unique words, dense words, themes, and phrase tools using a digital humanities approach to text mining, underscoring the significance of digital tools in advancing our understanding of literature and memory.