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Gender Detection and Stylistic Differences and Similarities between Males and Females in a Dream Tales Blog

Conference Paper
Publication Date:
2019
abstract:
In this paper, we present the results of a gender detection experiment carried out on a corpus we built downloading dream tales from a blog. We also highlight stylistic differences and similarities concerning lexical choices between men and women. In order to carry the experiment we built a feed-forward neural network with traditional sparse n-hot encoding using the Keras open-source library
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Gender detection, dream tales
List of contributors:
Manna, Raffaele; Pascucci, Antonio; Monti, Johanna
Authors of the University:
MANNA RAFFAELE
MONTI JOHANNA
Handle:
https://unora.unior.it/handle/11574/189825
Book title:
CLiC-it 2019 Italian Conference on Computational Linguistics - Proceedings of the Sixth Italian Conference on Computational Linguistics
Published in:
CEUR WORKSHOP PROCEEDINGS
Series
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URL

http://ceur-ws.org/Vol-2481/paper41.pdf
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