Title Details: | |
Stylometric Author’s Gender Attribution |
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Authors: |
Mikros, George |
Reviewer: |
Markopoulos, Georgios |
Subject: | HUMANITIES AND ARTS > LINGUISTICS > FIELDS OF LINGUISTICS > DESCRIPTIVE LINGUISTICS > COMPUTATIONAL LINGUISTICS |
Description: | |
Abstract: |
In this chapter, we explore a different problem in stylometric analysis that does not fall within the classical case of identifying an author, but rather in profiling the author and specifically determining their gender. The main theoretical approaches to gender linguistic differentiation are presented, along with a detailed literature review of research efforts to predict an author's gender using computational stylistics methodologies. These theoretical approaches are put into practice by attempting to identify the gender of authors in a corpus of news texts using artificial neural networks and utilizing multivariate statistical analysis to select the appropriate features that distinguish texts written by men and women.
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Linguistic Editors: |
Segkouli, Sofia |
Technical Editors: |
Theodoraki, Alexandra |
Graphic Editors: |
Theodoraki, Alexandra |
Type: |
Chapter |
Creation Date: | 2015 |
Item Details: | |
License: |
Attribution – NonCommercial – NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
Handle | http://hdl.handle.net/11419/4866 |
Bibliographic Reference: | Mikros, G. (2015). Stylometric Author’s Gender Attribution [Chapter]. In Mikros, G. 2015. Computational Stylistics [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/4866 |
Language: |
Greek |
Is Part of: |
Computational Stylistics |
Publication Origin: |
Kallipos, Open Academic Editions |