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master's thesis
Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:151199
Tutek, Martin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tutek, M. (2014). Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:151199

Tutek, Martin. "Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:151199

Tutek, Martin. "Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:151199

Tutek, M. (2014). 'Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:151199

Tutek M. Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:151199

M. Tutek, "Višeoznačna klasifikacija dokumenata u pojmovniku EuroVoc", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:151199

Metadata
TitleVišeoznačna klasifikacija dokumenata u pojmovniku EuroVoc
Title (english)Multi-label Document Classification using EuroVoc Thesaurus
AuthorMartin Tutek
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberMarin Golub (član povjerenstva)
Committee memberNikola Bogunović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
EuroVoc je višejezični konceptualni pojmovnik pravnih dokumenata zemalja članica Europske Unije. Sastoji se od preko 6000 različitih oznaka klasa koje se dodjeljuju dokumentima, zadatak koji spada u područje strojnog učenja. Problem pojmovnika EuroVoc je visoko rasipanje oznaka te njihova neravnomjerna raspodjeljenost. Slabije reprezentirane oznake su teže za prepoznati i klasificirati, te najviše škode procesu klasifikacije. Razni načini poboljšanja postupka su analizirani s naglaskom na povezivanje sličnih oznaka u grupe te potom strožu diskriminaciju među članovima iste grupe. Rezultati su uspoređeni s osnovnim algoritmom stroja s potpornim vektorima, te su izneseni zaključci i analizirani mogući novi smjerovi istraživanja.
Abstract (english)
EuroVoc is a multilingual conceptual thesaurus covering the activities of the European Union. It consists of over 6000 different class labels which are assigned to documents, a problem which is tackled by machine learning algorithms for multi-label classification. Problems with the thesaurus include label sparsity, inconsistent descriptor distribution and various other. The main line of research was an attempt to group similar labels in order to split the problem into differentiating between groups of labels and differentiating between similar labels. The model was compared to the SVM baseline and various other multi-label classification algorithms, the results and possible new lines of research were analysed.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:151199
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 14:12:39