prikaz prve stranice dokumenta Upotreba strojnog učenja u procjeni osobnosti
No public access
undergraduate thesis
Upotreba strojnog učenja u procjeni osobnosti
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:322700
Kušeta, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kušeta, I. (2022). Upotreba strojnog učenja u procjeni osobnosti (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:322700

Kušeta, Ivan. "Upotreba strojnog učenja u procjeni osobnosti." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:322700

Kušeta, Ivan. "Upotreba strojnog učenja u procjeni osobnosti." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:322700

Kušeta, I. (2022). 'Upotreba strojnog učenja u procjeni osobnosti', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:322700

Kušeta I. Upotreba strojnog učenja u procjeni osobnosti [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:322700

I. Kušeta, "Upotreba strojnog učenja u procjeni osobnosti", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:322700

Metadata
TitleUpotreba strojnog učenja u procjeni osobnosti
Title (english)The use of machine learning in personality assessment
AuthorIvan Kušeta
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
Committee memberMihael Kovač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog završnog rada je istražiti učinkovitost algoritama strojnog učenja u procjeni tipova osobnosti. Prediktivna analiza temeljit će se na javno dostupnom označenom skupu podataka koji sadrži tekstove korisnika sa društvenih mreža zajedno s njihovim tipovima osobnosti koji su izraženi pomoću Myers Briggs indikatora. Korištenjem obrade prirodnog jezika potrebo je predobraditi skup podataka te izdvojiti relevantne značajke sadržaja za daljnju obradu. Zatim treba primijeniti odgovarajuće klasifikacijske algoritme u svrhu procjene osobnosti. Potrebno je prikazati i obrazložiti rezultate različitih algoritama strojnog učenja zajedno s njihovim prednostima i nedostacima.
Abstract (english)
The goal of this thesis is to explore the effectiveness of machine learning algorithms in assessing personality types. The predictive analysis will be based on a publicly available labelled dataset that contains users' content from social media along with their personality type which is defined as the Myers Briggs Type Indicator. Using natural language processing, the dataset will be pre-processed, and relevant content features will be extracted for further processing. Then, suitable classification algorithms will be applied for the purpose of personality assessment. The results of different machine learning algorithms together with their advantages and disadvantages will be presented and explained.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:322700
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-15 10:39:39