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
Book title:
CLiC-it 2019 Italian Conference on Computational Linguistics - Proceedings of the Sixth Italian Conference on Computational Linguistics
Published in: