Naziv
Komparativna književnost: Uvod u računalnu analizu književnih tekstova
Organizacijska jedinica
Odsjek za komparativnu književnost
ECTS
6
Šifra
235619
Semestri
zimski, ljetni
Satnica
Predavanja
30
Seminar
15

Cilj
Predstaviti, razjasniti i demonstrirati osnovne mogućnosti analize književnih tekstova u hrvatskoj i drugim književnostima korištenjem metoda digitalne humanistike.
Sadržaj
  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

Ishodi učenja
  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
Metode podučavanja
Predavanja i seminari.
Metode ocjenjivanja
Usmeno i pismeno.

Obavezna literatura
  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]
Dopunska literatura
  1. 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. Stanford Literary Lab, Pamphlets, 2011- (https://litlab.stanford.edu/pamphlets/). Underwood, Ted. Distant Horizons: Digital evidence and literary change, University of Chicago Press, 2019.