181 early modern English plays: Transcriptions of early editions in TEI encoding

Donated on 9/27/2022

English plays (1585-1610), transcribed from early printed editions containing 181 plays. The plays as “samples” and the frequencies of the words appearing in those plays as “features” in the dataset.

Dataset Characteristics

Tabular

Subject Area

Other

Associated Tasks

Regression

Feature Type

-

# Instances

181

# Features

-

Dataset Information

For what purpose was the dataset created?

The creation of new computational methods to provide fresh insights on literary styles is a hot topic of research. There are particular challenges when the number of samples is small in comparison with the number of variables. One problem of interest to literary historians is the date of the first performance of a play of Shakespeare’s time. Currently this must usually be guessed with reference to multiple indirect external sources, or to some aspect of the content or style of the play.

Who funded the creation of the dataset?

Australian Research Council’s Discovery Projects funding scheme.

What do the instances in this dataset represent?

The dataset contains the plays as “samples”, and the frequencies of the words appearing in those plays as “features”.

Was there any data preprocessing performed?

Detail descriptions of the Pre-processing and software used for generating the data can be found in Sec. 2. "Materials and methods" of the corresponding article at: https://doi.org/10.1016/j.eswa.2022.116903.

Has Missing Values?

No

Introductory Paper

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

By P. Moscato, Hugh Craig, G. Egan, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, J. C. D. Oliveira. 2021

Published in Expert Syst. Appl.

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Keywords

dramaprofessional theatretranscriptionText Encoding Initiative (TEI)

Creators

Gabriel Egan

gegan@dmu.ac.uk

De Montfort University, UK

Alexis Antonia

alexis.antonia@newcastle.edu.au

The University of Newcastle, Australia

Brett Greatley-Hirsch

B.D.GreatleyHirsch@leeds.ac.uk

University of Leeds, UK

Hugh Craig

Hugh.Craig@newcastle.edu.au

The University of Newcastle

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