Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study

Shuwei Xue, Jana Lüdtke, Teresa Sylvester & Arthur M. Jacobs
As a part of a larger interdisciplinary project on Shakespeare sonnets’ reception (Jacobs et al., 2017; Xue et al., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrative Analysis (QNA). Using a machine learning- based predictive modeling approach five ‘surface’ features (word length, orthographic neighborhood density, word frequency, orthographic dissimilarity and sonority score) were detected as...
1 citation reported since publication in 2019.
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