Računalno potpomognuta analiza likova u odabranim tekstovima hrvatske književnosti

master's thesis

• Title (english): Computer-based character analysis in a selection of Croatian literature
• Author: Lorena Kasunić
• Mentor: Lovro Škopljanac (mentor)
• Mentor: Petra Bago (mentor)
• Committee member: Maša Grdešić (predsjednik povjerenstva)
• Committee member: Lovro Škopljanac (član povjerenstva)
• Committee member: Petra Bago (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of Comparative literature); Zagreb
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2021-09-03, 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: digitalna humanistika; naratologija; informacijske i komunikacijske znanosti; računalne metode; književni tekst
• Keywords (english): digital humanities; narratology; information and communication science; computer methods; literary text
• Language: croatian
• URN:NBN: urn:nbn:hr:131:190822
• Study programme: Title: Comparative Literature (double major); Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra komparativne književnosti (magistar/magistra komparativne književnosti)
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-09-03 12:25:25