Prepoznavanje imenovanih entiteta u korisničkim životopisima

undergraduate thesis

• Title (english): Name Entity Recognition in User Resumes
• Author: Filip Prevendar
• 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: 2020-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Prepoznavanje imenovanih entiteta u korisničkim životopisima
U ovom radu se razmatra izgradnja sustava za pronalaženje imenovanih entiteta kao što su imena, mjesta, datumi, e-mail adrese i web adrese u životopisima pisanim u slobodnom obliku. Detaljnije se razmatra pristup nadgledanim strojnim učenjem i klasifikacijski modeli stabala odluke i Bayesovih klasifikatora. Na kraju je dano programsko ostvarenje tih modela u programskom jeziku python, te su uspoređeni rezultati
Ključne riječi: Pronalaženje imenovanih entiteta, strojno učenje, nadgledano učenje, stabla odluke, Bayesov klasifikator

Abstract (english)

Named entity recognition in user curriculum vitae.
This thesis considers an implementation of a system for named entity recognition, such as names, locations, dates, e-mail addresses and web addresses in given curriculum vitae. Thesis goes more in detail about supervised learning approach, decision tree classifier, and Bayes classifier. In the end, an implementation for those models are given in python programming language.
Keywords: Named entity recognition, machine learning, supervised machine learning, decision trees, Bayes classifiers

• Keywords: Pronalaženje imenovanih entiteta; strojno učenje; nadgledano učenje; stabla odluke; Bayesov klasifikator
• Keywords (english): Named entity recognition; machine learning; supervised machine learning; decision trees; Bayes classifiers
• Language: croatian
• URN:NBN: urn:nbn:hr:168:298688
• 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 09:44:01