A data science and machine learning approach to continuous analysis of Shakespeare's plays

by   Charles Swisher, et al.

The availability of quantitative methods that can analyze text has provided new ways of examining literature in a manner that was not available in the pre-information era. Here we apply comprehensive machine learning analysis to the work of William Shakespeare. The analysis shows clear change in style of writing over time, with the most significant changes in the sentence length, frequency of adjectives and adverbs, and the sentiments expressed in the text. Applying machine learning to make a stylometric prediction of the year of the play shows a Pearson correlation of 0.71 between the actual and predicted year, indicating that Shakespeare's writing style as reflected by the quantitative measurements changed over time. Additionally, it shows that the stylometrics of some of the plays is more similar to plays written either before or after the year they were written. For instance, Romeo and Juliet is dated 1596, but is more similar in stylometrics to plays written by Shakespeare after 1600. The source code for the analysis is available for free download.


page 1

page 2

page 3

page 4


Recognizability of Individual Creative Style Within and Across Domains: Preliminary Studies

It is hypothesized that creativity arises from the self-mending capacity...

The standard coder: a machine learning approach to measuring the effort required to produce source code change

We apply machine learning to version control data to measure the quantit...

Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays

The date of the first performance of a play of Shakespeare's time must u...

The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning

We present a pedagogical introduction to the recent advances in the comp...

Global Flood Prediction: a Multimodal Machine Learning Approach

Flooding is one of the most destructive and costly natural disasters, an...

Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation

The study of Ukiyo-e, an important genre of pre-modern Japanese art, foc...

Machine Learning State-of-the-Art with Uncertainties

With the availability of data, hardware, software ecosystem and relevant...

Please sign up or login with your details

Forgot password? Click here to reset