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undergraduate thesis
Semantička segmentacija teksta računa
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:787814
Čubelić, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čubelić, D. (2019). Semantička segmentacija teksta računa (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:787814

Čubelić, Dominik. "Semantička segmentacija teksta računa." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:787814

Čubelić, Dominik. "Semantička segmentacija teksta računa." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:787814

Čubelić, D. (2019). 'Semantička segmentacija teksta računa', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:787814

Čubelić D. Semantička segmentacija teksta računa [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:787814

D. Čubelić, "Semantička segmentacija teksta računa", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:787814

Metadata
TitleSemantička segmentacija teksta računa
Title (english)Semantic Segmentaion of Invoice Text
AuthorDominik Čubelić
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberMartin Tutek (član povjerenstva)
Committee memberZoran Medić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu su se promatrali modeli semantičke segmentacije teksta računa. Riječi očitane s računa se klasificiraju po tri semantičke značajke: proizvod, cijena i ostalo. Razvijena su tri modela: HMM, CRF i LSTM. Najbolje rezultate ostvario je CRF s F1 rezultatom preko 90\% što je uvelike nadmašilo referentni model temeljen na heuristici.
Abstract (english)
In this thesis, semantic segmentation of invoice text models was observed. Words extracted from invoices are classified on three semantic labels: product, price and other. Three models were developed: HMM, CRF and LSTM. Best results were achieved by CRF with F1 score over 90\% which greatly surpassed the referent model based on heuristics.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:787814
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 on2020-01-07 17:23:22