Vive la différence: Tracing the (Authorial) Gender Signal by Multivariate Analysis of Word Frequencies
DOI:
https://doi.org/10.31400/dh-hun.2021.5.3143Keywords:
authorship attribution, gender of author, Bootstrap Consensus Network, Burrows’s ZetaAbstract
Multivariate analysis of word frequencies is used to identify the gender of authors in a corpus of 18th- and early 19th-century English sentimentalist and Gothic fiction. Results obtained with most frequent words are compared to those produced with medium-frequency Burrows’s Zeta words characteristic for both genders. Gender-sensitive words from two periods (18th/19th c. and 19th/20th c.) are compared in terms of their usefulness for gender identification in literary texts.
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