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undergraduate thesis
Profiliranje autora na društvenim mrežama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:803835
Lovrenčić, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Lovrenčić, I. (2019). Profiliranje autora na društvenim mrežama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:803835

Lovrenčić, Ivan. "Profiliranje autora na društvenim mrežama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:803835

Lovrenčić, Ivan. "Profiliranje autora na društvenim mrežama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:803835

Lovrenčić, I. (2019). 'Profiliranje autora na društvenim mrežama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:803835

Lovrenčić I. Profiliranje autora na društvenim mrežama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 October 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:803835

I. Lovrenčić, "Profiliranje autora na društvenim mrežama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:803835

Metadata
TitleProfiliranje autora na društvenim mrežama
Title (english)Author Profiling of Social Media Users
AuthorIvan Lovrenčić
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
Committee memberZoran Medić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Profiliranje autora je metoda analize tekstova kod kojega se na temelju autorovog teksta otkrivaju odred̄ene informacije o autoru. Metode za profiliranje autora većinom se oslanjaju na stilometrijska obilježja teksta te su zbog toga izrazito korisne u današnjem svijetu obilježenom velikom brojem društvenih mreža. Ovaj rad se bavio odred̄ivanjem spola, dobi te intenziteta psihološki značajki autora. Modeli su se temeljili na alatima obrade prirodnog jezika i algoritmima strojnog učenja. Nakon razvoja modela za odred̄ivanje spola,dobi i intenziteta psiholoških značajki autora, provedeno je i eksperimentalno vrednovanje modela i analiza dobivenih podataka.
Abstract (english)
Author profiling is a method of analyzing a given number of texts to try to uncover various characteristics of the author. Profiling methods are largely based on the stylometric features of the text and are therefore extremely useful in today’s world marked by a large number of social networks. This paper deals with the determination of gen- der, age, and intensity of psychological features of the author. The models were based on natural language processing tools and machine learning algorithms. After the development of gender, age, and intensity of psychological features models, experimental evaluation of the model and analysis of the obtained data was performed
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:803835
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 19:45:27