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undergraduate thesis
Intrinzično otkrivanje plagijata u studentskim radovima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:133594
Lozić, David
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Lozić, D. (2017). Intrinzično otkrivanje plagijata u studentskim radovima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:133594

Lozić, David. "Intrinzično otkrivanje plagijata u studentskim radovima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:133594

Lozić, David. "Intrinzično otkrivanje plagijata u studentskim radovima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:133594

Lozić, D. (2017). 'Intrinzično otkrivanje plagijata u studentskim radovima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:133594

Lozić D. Intrinzično otkrivanje plagijata u studentskim radovima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:133594

D. Lozić, "Intrinzično otkrivanje plagijata u studentskim radovima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:133594

Metadata
TitleIntrinzično otkrivanje plagijata u studentskim radovima
Title (english)Intrinsic Plagiarism Detection in Student Theses
AuthorDavid Lozić
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (član povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
Committee memberMartin Tutek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj intrinzičnog otkrivanja plagijata je prepoznavanje krađe unutar dokumenta bez pomoći referentnih tekstova. U ovom radu su predložena dva pristupa. Prvi koristi one-class SVM u prepoznavanju stršećih vrijednosti, dok drugi radi klasifikaciju koristeći niz klasifikatora. Za potrebe zadatka stvoren je umjetni skup podataka gdje su dokumenti analizirani na razini rečenice koristeći tehniku klizećeg prozora. Iako su postignuti pozitivni rezultati, sustav nije dovoljno učinkovit za samostalnu detekciju plagijata. F1 rezultat prvog modela je 0.3, dok je F1 rezultat drugog modela 0.25 za klasu plagijata.
Abstract (english)
The goal of intrinsic plagiarism detection is to uncover theft without the aid of external references by analyzing the discrepancies within a single corpus. In this thesis, two approaches are proposed. One focuses one outlier detection using the one-class SVM, and the other performs classification using several classifiers. An artificial dataset was created for the task and the documents are analyzed on a sentence level using a sliding window. While there have been some positive results, the system alone is not satisfactory enough for confident plagiarism detection on the sentence level. The first model scored an F1 score of 0.3 on the plagiarism class and the second model achieved an F1 score of 0.25.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:133594
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 22:22:57