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...
This data center is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.
We found no citations for this workflow. For information on how to provide citation information, please see our documentation.