Work

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

Year: 2019

Type: conference-paper

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

Source: ARCHIVIO ISTITUZIONALE DELLA RICERCA-UNIVERSITA DEGLI STUDI DI NAPOLI "LORIENTALE"

Authors: Raffaele Manna, Antonio Pascucci, Johanna Monti

Language: English

Topic: Authorship Attribution and Profiling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Gender equality

Open Access status: green

OpenAlex ID: W2982624291

FWCI: 0.163

Cites: 15

Cited by: 3

Related to: 10