Otkrivanje kompetencija iz životopisa zadanih u slobodnom obliku

undergraduate thesis

• Title (english): Extraction of Hard Skills from Free-form Resumes
• Author: Dario Nikolić
• Mentor: Marin Šilić (mentor)
• Committee member: Marin Šilić (predsjednik povjerenstva)
• Committee member: Adrian Satja Kurdija (član povjerenstva)
• Committee member: Petar Afrić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Odjeli za ljudske resurse velikih tvrtki svakodnevno moraju pročitati veliki broj životopisa iz kojih je potrebno provjeriti i usporediti kompetencije kandidata kako bi odabrali prave ljude za tražene pozicije. U radu se ostvaruje programsko rješenje koje će za predane životopise automatski izvući kompetencije kandidata. Načelo rada programskog ostvarenja te potrebno teorijsko znanje koje pokriva programsko ostvarenje detaljno su objašnjeni. Programsko ostvarenje predstavlja problem izvlačenja informacija koji je riješen korištenjem modela neuronske mreže sastavljenog od LSTM i standardnih gustih slojeva, dok se obrada teksta vrši standardnim postupcima korištenih prilikom obrade prirodnog jezika.

Abstract (english)

The human resources departments of large companies have to read substantial number of resumes on daily basis from which it is necessary to check and compare the competencies of the candidates in order to select the right people for the required job. The paper presents an implementation of a solution that will automatically extract the competencies of candidates for the given resume. Realization of the implementation and the necessary theoretical knowledge required for understanding the workings of the implementation are explained in detail. The implementation itself is an information extraction problem that is solved using an artificial neural network model consisting of LSTM and standard dense layers, while word processing is performed using standard procedures in natural language processing.

• Keywords: izvlačenje informacija; obrada prirodnog jezika; umjetne neuronske mreže; duga kratkotrajna memorija; obrada teksta
• Keywords (english): information extraction; natural language processing; artificial neural networks; long short-term memory; text processing
• Language: croatian
• URN:NBN: urn:nbn:hr:168:176510
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 09:35:22