Titlebook: Data Visualization in Enlightenment Literature and Culture; Ileana Baird Book 2021 The Editor(s) (if applicable) and The Author(s), under

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Text Mining and Data Visualization: Exploring Cultural Formations and Structural Changes in Fifty Yeclustering, Latent Dirchlet Allocation (LDA) topic modeling, and data visualization, the author analyses patterns in attention to various texts and/or poets and makes inferences about disciplinary focus, direction of disciplinary practice, and the impact of gender on the poetic canon.

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The Grid and the Visualization of Abstract Information: Three Eighteenth-Century Modelstive purposes. These eighteenth-century instances of data visualization are analyzed in light of contemporary art history theories to demonstrate their lasting impact on contemporary artists like Francine Savard, Hans Haacke, and Luce Meunier, whose works mirror the patterns of eighteenth-century graphic works.

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Lisette G. de Pillis,Ami E. Radunskayaraphic information, and Tableau has ordered letters by date, rather than by appearance in the text. Thus, this chapter narrates the process by which such visualizations can lead to new interpretations of the source text that are significant in themselves and/or point to new directions of analysis.

Polydipsia

Europe and Its “Others”: Visualizing Lexical Relations Between Western and Non-Western Locations of ways in which the printed anglophone century understood relations between “Europe” and its others, suggesting a complementary story about Enlightenment othering that would have remained closed off without the affordances of the digital.

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Exploring Data Visualization: Time, Emotion, and Epistolarity in Frances Brooke’s raphic information, and Tableau has ordered letters by date, rather than by appearance in the text. Thus, this chapter narrates the process by which such visualizations can lead to new interpretations of the source text that are significant in themselves and/or point to new directions of analysis.

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Developmental Toxicity Predictionclustering, Latent Dirchlet Allocation (LDA) topic modeling, and data visualization, the author analyses patterns in attention to various texts and/or poets and makes inferences about disciplinary focus, direction of disciplinary practice, and the impact of gender on the poetic canon.

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