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master's thesis
Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2021. urn:nbn:hr:131:190822
Kasunić, Lorena
University of Zagreb
Faculty of Humanities and Social Sciences
Department of Comparative literature
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

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Kasunić, L. (2021). Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:190822

Kasunić, Lorena. "Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences; University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:190822

Kasunić, Lorena. "Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences; University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:190822

Kasunić, L. (2021). 'Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences; University of Zagreb, Faculty of Humanities and Social Sciences, accessed 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:131:190822

Kasunić L. Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2021 [cited 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:131:190822

L. Kasunić, "Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb; University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:131:190822

Metadata
TitleRačunalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti
Title (english)Computer-based character analysis in a selection of Croatian literature
AuthorLorena Kasunić
MentorLovro Škopljanac (mentor)
MentorPetra Bago (mentor)
Committee memberMaša Grdešić (predsjednik povjerenstva)
Committee memberLovro Škopljanac (član povjerenstva)
Committee memberPetra Bago (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of Comparative literature)
Zagreb
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2021-09-03, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
Comparative Literature
Abstract
U radu se iznosi narav odnosa digitalne humanistike i tradicionalne humanistike (ponajprije iz perspektive književnosti) te poveznice između digitalne humanistike i informacijskih i komunikacijskih znanosti. S obzirom na to da je glavni fokus rada računalno potpomognuta analiza književnih likova, objašnjava se kako naratologija tumači likove, njihovu klasifikaciju i karakterizaciju, što predstavlja književnoteorijsko polazište za analizu likova u središnjem dijelu rada. Također, navode se i objašnjavaju računalne metode koje se koriste prilikom računalno potpomognute analize književnih likova. U istraživanju se upotrebljavaju sljedeći književni tekstovi: Posljednji Stipančići (Vjenceslav Novak), Krvavi most u Zagrebu (Mirko Bogović), Šuma Striborova (Ivana Brlić-Mažuranić), Oprava (Josip Kozarac) i Oko Lobora (Antun Gustav Matoš), koji su dostupni na internetskoj stranici e-lektire. Istraživanje je usredotočeno na naratološku analizu književnih likova potpomognutu računalnim metodama i alatima. Analiza rezultata pokazuje korisnost računalnih metoda i alata u naratološkoj analizi likova. Proučavanje glagola koji se vežu uz pojedini lik, traženje podataka o interakciji likova, analiza GDEX primjera izravnih definicija, statistički podaci o udjelima vlastitih imenica i osobnih zamjenica postupci su kojima se ostvaruje karakterizacija. Navode se i prijedlozi za budući rad i razvoj računalno potpomognutog proučavanja književih likova.
Abstract (english)
This paper presents the nature of the relationship between digital humanities and traditional humanities (primarily from the perspective of literature) as well as the link between digital humanities and information and communication sciences. Given that the main focus of the paper is computer-aided analysis of literary characters, it describes narratological character interpretation, character classification and characterization, which represents the literary theory starting point for character analysis in the central part of the paper. Furthermore, the computer methods used in computer-aided character analysis are listed and explained. The following literary texts are used in the research: Posljednji Stipančići (Vjenceslav Novak), Krvavi most u Zagrebu (Mirko Bogović), Šuma Striborova (Ivana Brlić-Mažuranić), Oprava (Josip Kozarac) and Oko Lobora (Antun Gustav Matoš) which are available on the e-lektire website. The research focuses on the narratological analysis of literary characters aided by computer methods and tools. The analysis of the results shows the usefulness of computer methods and tools in narratological analysis of characters. The study of verbs related to a particular character, searching for data on the interaction of characters, analysis of GDEX examples of direct definitions, statistics on the shares of proper nouns and personal pronouns are procedures by which characterization is accomplished. Suggestions for future work and development of computer-aided study of literary characters are also given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:190822
Study programmeTitle: Comparative Literature (double major)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra komparativne književnosti (magistar/magistra komparativne književnosti)
Study programmeTitle: Information Sciences; specializations in: Informatology, Information Sciences (teaching), Information Sciences (research)
Course: Information Sciences (teaching)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informacijskih znanosti (magistar/magistra edukacije informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-09-03 12:25:25