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undergraduate thesis
Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:220100
Bukovac, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bukovac, I. (2021). Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:220100

Bukovac, Ivan. "Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:220100

Bukovac, Ivan. "Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:220100

Bukovac, I. (2021). 'Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:220100

Bukovac I. Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:220100

I. Bukovac, "Sustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:220100

Metadata
TitleSustav za otkrivanje plagijata ostvaren primjenom programske knjižnice Scikit-Learn
Title (english)Plagiarism Detection System Based on Scikit-Learn Programming Library
AuthorIvan Bukovac
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad obuhvaća jedan od pristupa za razvoj softvera detekcije plagijata. Taj pristup se oslanja na tokenizaciju, TF-IDF algoritam i kosinusnu sličnost. U programskom ostvarenju se koristio programski jezik Python i vanjska programska knjižnica Scikit-Learn. Eksperimentalni skup se sastoji od pet eksperimenata kroz koja se ispitivala detekcija plagijata. Rezultati provedenih eksperimenata su prikazani i diskutirani.
Abstract (english)
This paper encompasses one of the approaches to plagiarism detection software development. This approach relies on tokenization, the TF-IDF algorithm, and cosine similarity. The Python programming language and the external Scikit-Learn programming library were used in the programming. The experimental set consisted of five experiments through which plagiarism detection was examined. The results of the conducted experiments are presented and discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:220100
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 on2023-01-14 20:10:32