"Shakespeare Machine: New AI-Based Technologies for Textual Analysis"
https://www.worldshakesbib.org/entry/bbbo396/
Author:
	Ehrett, Carl; Ghita, Lucian; Ranwala, Dillon; Menezes, Alison.
Type:
	Journal Article
Year:
	2024
Publication Information:
	Digital Scholarship in the Humanities 39, no. 2 (2024): 522–31.
DOI:
	10.1093/llc/fqae021
Annotation:
	Applying natural language processing (NLP) techniques, namely sentiment analysis, in a consideration of gender and genre, finds "that male characters in Shakespeare’s plays are angrier, more fearful, more surprised, less loving, and less sad than female characters, even when controlling for the effects of genre." English summary, 522.
Language:
	English
Keywords:
	digital humanities
Tags:
	Scholarship, Criticism, History of Criticism
WSB Update:
	Winter 2025
WSB Record Number:
	bbbo396