Predstaviti, razjasniti i demonstrirati osnovne mogućnosti analize književnih tekstova u hrvatskoj i drugim književnostima korištenjem metoda digitalne humanistike.
Predstaviti, razjasniti i demonstrirati osnovne mogućnosti analize književnih tekstova u hrvatskoj i drugim književnostima korištenjem metoda digitalne humanistike.
1. definirati ključne elemente književnoteorijske pojmovne i metodološke aparature 2. primijeniti književnoteorijske pojmove i metode u analizi strukture književnih tekstova, kao i drugih kulturnih fenomena 3. čitati stručnu literaturu i koristiti se znanstvenom terminologijom na barem jednom svjetskom jeziku 4. samostalno provesti istraživanje na temelju postojeće stručne literature te izložiti rezultate u pisanom ili usmenom obliku 5. primijeniti književnoznanstvene pojmove i metode u analizi i interpretaciji različitih pojava iz hrvatske književnosti i njihovoj usporedbi s pojavama iz drugih nacionalnih književnosti
1. 1 – Konstituiranje kolegija 2. 2 – Digitalna humanistika 3. 3 – Književnost i potencijal računala 4. 4 – Alati 5. 5 – Projekti 6. 6 – Analiza teksta I: lirika 7. 7 – Analiza teksta I: epika 8. 8 – Analiza teksta I: drama 9. 9 – Analiza teksta II: entiteti (NER) 10. 10 – Analiza teksta II: prostor 11. 11 – Analiza teksta II: vrijeme 12. 12 – Analiza teksta III: teme 13. 13 – Analiza teksta III: sentimenti 14. 14 – Analiza teksta III: stil 15. 15 – Zaključivanje kolegija
1. a) primarna: Prema dogovoru u kolegiju; digital(izira)ni tekstovi dostupni na stranicama poput Digitalna zbirka i katalog Hrvatske akademije znanosti i umjetnosti, European Literary Text Collection, Google Books, HathiTrust Digital Library, Lektire.hr, Project Gutenberg, Zbirka književnih djela na hrvatskome jeziku (FFZG) i slično
2. b) sekundarna, obavezna:
Cummings, James. The Text Encoding Initiative and the Study of Literature. A Companion to Digital Literary Studies, Siemens, Ray i Schreibman, Susan (ur.), Oxford: Blackwell, 2008. [5 (str. 451-476)]
Herrmann, J Berenike; Bories, Anne-Sophie; Frontini, Francesca; Jacquot, Clèmence; Pielström, Steffen; Rebora, Simone; Rockwell, Geoffrey; Sinclair, Stéfan. Tool criticism in practice. On methods, tools and aims of computational literary studies. DHQ: Digital Humanities Quarterly, 17 (3), 2023 (dostupno ovdje). [4]
Jovanović, Neven. Aluzivne dimenzije vračare iz En Dora u Marulićevoj Davidijadi. Književna smotra, 206(4), 2022 (dostupno ovdje). [7]
Karlińska, Agnieszka. The art of nerves: A quantitative and qualitative analysis of drama at the turn of nineteenth and twentieth century. Digital Scholarship in the Humanities, 36 (1), 2021. [8]
Moretti, Franco. Conjectures on World Literature. New Left Review, 1, 2000 (dostupno ovdje). [3]
Nikolić, Davor. Digitalna humanistika i nacionalna filologija: o mogućim implikacijama računalnoga obrata. Croatica, 40 (60), 2016 (dostupno ovdje). [2]
Piper, Andrew. Enumerations: Data and Literary Study, University of Chicago Press, 2018. [6 (str. 22-41)]
3. c) sekundarna, izborna:
Allison, Sarah; Gemma, Marissa; Heuser, Ryan; Moretti, Franco; Tevel, Amir; Yamboliev, Irena. Style at the scale of the sentence, Stanford Literary Lab, 2013 (dostupno ovdje). [14]
Bode, Katherine. What’s the Matter with Computational Literary Studies? Critical Inquiry, 49 (4), 2023. [15]
Heuser, Ryan; Moretti, Franco; Steiner, Erik. The Emotions of London, Stanford Literary Lab, 2016 (dostupno ovdje). [10]
Jockers, Matthew L. Macroanalysis: Digital methods and literary history, University of Illinois Press, 2013. [12 (str. 35-62)]
Kim, Evgeny i Klinger, Roman. A Survey on Sentiment and Emotion Analysis for Computational Literary Studies. Eprint arXiv:1808.03137, 2021 (dostupno ovdje). [13]
Underwood, Ted. Why Literary Time is Measured in Minutes. ELH 85 (2), 2018. [11]
Vala, Hardik; Jurgens, David; Piper, Andrew; Ruths, Derek. Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 (dostupno ovdje). [9]
4. d) dodatna:
Archer, Jodie i Jockers, Matthew L. The Bestseller Code: Anatomy of the Blockbuster Novel. New York: St. Martin's Press, 2016.
Bird, Steven; Klein, Ewan; Loper, Edward. Natural Language Processing with Python, Beijing: O’Reilly Media, 2009.
Bourrier, Karen, i Thelwall, Mike. The Social Lives of Books: Reading Victorian Literature on Goodreads. Journal of Cultural Analytics, 2020.
Crompton, Constance; Lane, Richard J.; Siemens, Ray (ur.). Doing Digital Humanities, London i New York: Routledge, 2016.
Gold, Matthew K. (ur.). Debates in the Digital Humanities, Minneapolis: University of Minnesota Press, 2012.
Goldstone, Andrew i Underwood, Ted. The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us. New Literary History, 45 (3), 2014.
Herrmann, J. Berenike; Jacobs, Arthur M.; Piper, Andrew. Computational Stylistics, u Handbook of Empirical Literary Studies (ur. Donald Kuiken i Arthur M. Jacobs), Berlin, Boston: De Gruyter, 2021.
Jockers, Matthew L. Text Analysis with R for Students of Literature, Heidelberg: Springer, 2014.
Montfort, Nick. Exploratory Programming for the Arts and Humanities, Cambridge, Massachusetts: The MIT Press, 2016.
Moretti, Franco. Graphs, maps, trees: Abstract models for literary history. London, New York: Verso, 2007.
Piper, Andrew. Do we know what we are doing? Journal of Cultural Analytics, 2019.
Pressman, Jessica. Electronic Literature as Comparative Literature, u Futures of Comparative Literature: ACLA State of the Discipline Report (ur. Ursula K. Heise), Routledge, 2017.