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
Gender Detection and Stylistic Differences and Similarities between Males and Females in a Dream Tales Blog
MANNA, RAFFAELE;Antonio Pascucci;Johanna Monti
2019-01-01
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 libraryFile in questo prodotto:
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