Naslov
Depictions of Women in “Duga” and “Tena”: A Computational Analysis

Autori
Kasunić, Lorena ; Kiseljak, Gordana

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Formalising Natural Languages: Applications to Natural Language Processing and Digital Humanities

Urednik/ci
Bekavac, Božo ; Kocijan, Kristina ; Silberztein, Max ; Šojat, Krešimir

Izdavač
Springer

Godina
2021

Raspon stranica
111-122

ISBN
978-3-030-70628-9

ISSN
1865-0929

Ključne riječi
computational analysis ; depictions of women ; digital humanities ; croatian language ; NooJ

Sažetak
By combining two contrasting fields, the humanities and digital technologies, a new discipline was born – that of digital humanities. After a long period of constantly using a single approach in literary science – interpretation – in recent years, a new approach has been introduced in this field of science – an empirical type of research, that of computational analysis. Not many efforts have been made in Croatia to implement or even introduce computational analysis as a possible approach in literary studies. This paper analyzes the depiction of women in two particular short stories: “Tena” by Josip Kozarac and “Duga” by Dinko Šimunović. These texts are considered appropriate and representative because their main characters are women whose portrayals are given in great detail. That is the reason why analyzing such texts can be fruitful for deriving data for the construction of the general model. Both texts are written in Croatian, which points to one of the main purposes and intentions of this paper – the use of canonical literary texts from Croatian literature to build a model for the quantitative analysis of female characters and hopefully apply it to other texts in the future. The methods which are used in this paper are computational analysis (a quantitative approach) and interpretation (a traditional, qualitative approach) of quantitative results based on literary science. This paper represents a pilot study of sorts, in which the authors will use the NooJ environment to take the initial steps toward building the aforementioned model.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija, Interdisciplinarne humanističke znanosti

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