Provider: World Shakespeare Bibliography https://www.worldshakesbib.org
Database: WSB
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TY  - JOUR
VL  - 39
IS  - 2
T2  - Digital Scholarship in the Humanities
SP  - 522-31
ID  - bbbo396
T1  - "Shakespeare Machine: New AI-Based Technologies for Textual Analysis"
AU  - Ehrett, Carl
AU  - Ghita, Lucian
AU  - Ranwala, Dillon
AU  - Menezes, Alison
PY  - 2024
DA  - 2026
DO  - 10.1093/llc/fqae021
KW  - digital humanities
LA  - English
AB  - 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.
ER  -