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undergraduate thesis
Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:431544
Knežević, Lucija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Knežević, L. (2022). Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:431544

Knežević, Lucija. "Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:431544

Knežević, Lucija. "Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:431544

Knežević, L. (2022). 'Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:431544

Knežević L. Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:431544

L. Knežević, "Model za kategoriziranje patenata baziran na sadržaju te dubokom učenju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:431544

Metadata
TitleModel za kategoriziranje patenata baziran na sadržaju te dubokom učenju
Title (english)Content-based categorization model for patents based on deep learning
AuthorLucija Knežević
MentorMario Brčić (mentor)
Committee memberMario Brčić (predsjednik povjerenstva)
Committee memberAgneza Krajna (član povjerenstva)
Committee memberKristijan Poje (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Patenti su glavno sredstvo zaštite intelektualnog vlasništva te ih je prilikom prijave potrebno svrstati u pripadajuću unaprijed definiranu kategoriju. S obzirom na velik broj patentnih prijava javlja se problem nedovoljnih kapaciteta ljudstva za prihvatom i obradom istih. Kao rješenje se nameće primjena algoritama za kategoriziranje patentnih prijava čija je zadaća odrediti kategoriju pod koju se patent svrstava s obzirom na službenu nomenklaturu izdavača patenata. U ovom je radu razrađena problematika kategoriziranja patenata te je opisan implementiran model temeljen na metodama prirodne obrade jezika (engl. Natural Language Processing, NLP). Ponuđeni NLP model temeljem riječi sažetka opisa patenta određuje kategoriju u koju se isti svrstava. U konačnici, s ciljem zaštite izvornosti, kriptirani se sažetak patentne prijave upisuje na javni blok-lanac Solana.
Abstract (english)
Patents are the primary means of intellectual property protection and must be classified in the pre-defined category. Given many patent applications, a problem of the insufficient human capacity to receive and process them emerges. As a solution, the application of algorithms for categorizing patent applications is imposed. The task is to determine the category under which the patent is classified concerning the official nomenclature of patent issuers. In this paper, the issue of categorizing patents is elaborated on, and the implemented model based on methods of natural language processing (NLP) is described. The offered NLP model, based on the words of the abstract of the patent description, determines the category into which it is assigned. Finally, to protect the authenticity, the encrypted abstract of the patent application is written on the public blockchain Solana.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:431544
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 on2023-01-15 10:31:18