AUTOMATIC DETECTION OF GENDER IDENTITY: THE PHENOMENON OF RUSSIAN WOMEN'S PROSE

Anastasiya Khazova ()
Additional contact information
Anastasiya Khazova: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: The article deals with the method of automatic detection of authors ' gender identity on the material of fiction prose of 1980-2000. During this period, there is a special construct, called "women's prose", which is characterized by a special genre and stylistic originality. We set ourselves the task to find out whether the concept of “women's prose” refers only to the non-text reality or is clearly reflected at the level of language. We have collected corpus of texts 1980-2000 and conducted that identified the most effective machine learning algorithms for the classification of male and female prose

Keywords: women’s prose; fiction; classification; gender; identity. (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 13 pages
Date: 2018
New Economics Papers: this item is included in nep-cis
References: View complete reference list from CitEc
Citations:

Published in WP BRP Series: Linguistics / LNG, December 2018, pages 1-13

Downloads: (external link)
https://wp.hse.ru/data/2018/12/14/1144741523/71LNG2018.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:71/lng/2018

Access Statistics for this paper

More papers in HSE Working papers from National Research University Higher School of Economics
Bibliographic data for series maintained by Shamil Abdulaev () and Shamil Abdulaev ().