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undergraduate thesis
Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:531629
Kukovačec, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kukovačec, M. (2017). Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:531629

Kukovačec, Marin. "Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:531629

Kukovačec, Marin. "Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:531629

Kukovačec, M. (2017). 'Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:531629

Kukovačec M. Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:531629

M. Kukovačec, "Strojno otkrivanje sarkazma u komentarima korisnika društvenih mreža", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:531629

Metadata
TitleStrojno otkrivanje sarkazma u komentarima korisnika društvenih mreža
Title (english)Automated Sarcasm Detection in Social Network Users' Comments
AuthorMarin Kukovačec
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
Committee memberMartin Tutek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sarkazam je ironična ili satirična primjedba koja izgleda kao da nekoga hvali, ali zapravo ga ismijava. Područje računarske znanosti koje se bavi problemima poput detekcije sarkazma je obrada prirodnog jezika, koja često koristi strojno učenje kako bi polučila najbolje rezultate. U ovom završnom radu opisana je implementacija rješenja za problem detekcije sarkazma u komentarima korisnika na društvenoj mreži Facebook. Unutar problema koji se obrađuje nalaze se tri podzadatka: detekcija sarkazma u rečenicama izvađenim iz sarkastičnih komentara, detekcija sarkazma u postovima bez vanjskog konteksta, te detekcija sarkazma u postovima sa kontekstom. Svaki podzadatak je zahtijevao poseban skup podataka za treniranje modela, kao i poseban i jedinstven testni skup podataka za evaluaciju modela. U ovom radu su opisani izgled skupa podataka svakog podzadatka, sama implementacija rješenja i rezultati evaluacije nad testnim skupom podataka za svaki od podzadataka.
Abstract (english)
Sarcasm is an ironic or satirical remark that seems to be praising someone or something but is really taunting or cutting. Field of computer that deals with problems like sarcasm detection is natural language processing, which often uses machine learning to yield best results. This Bachelor thesis describes solution implementation of automated sarcasm detection in users comments on Facebook social network. This task of sarcasm detection can be split in three subtasks: Sarcasm detection in sentence fragments taken from sarcastic posts, Sarcasm detection in post fragments without their outside context, and Sarcasm detection in posts with their outside context. Each subtask required unique splitting of original dataset into train dataset to train the model, and test dataset to evaluate the model. This thesis describes dataset of each subtask, solution implementation, and evaluation results on test datasets for each subtask.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:531629
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 22:04:49