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Performing Gender: Automatic Stylistic Analysis of Shakespeare's Characters

Summary: Performing Gender:
Automatic Stylistic Analysis of Shakespeare's Characters
Sobhan R Hota, Shlomo Argamon Moshe Koppel, Iris Zigdon
Linguistic Cognition Laboratory Department of Computer Science
Department of Computer Science Bar-Ilan University
Illinois Institute of Technology, Chicago, IL Ramat Gan 52900, Israel
hotasob @ iit.edu, argamon @ iit.edu koppel @ cs.biu.ac.il, iriszigdon @ walla.com
1 Introduction
A recent development in the study of
language and gender is the use of automated text
classification methods to examine how men and
women might use language differently. Such work
on classifying texts by gender has achieved
accuracy rates of 70-80% for texts of different
types (e-mail, novels, non-fiction articles),
indicating that noticeable differences exist (de Vel
et al. 2002; Argamon et al. 2003).
More to the point, though, is the fact that
the distinguishing language features that emerge
from these studies are consistent, both with each


Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology


Collections: Computer Technologies and Information Sciences