Modeli za predviđanje religijske pripadnosti autora teksta

Brassard, Ana

prikaz prve stranice dokumenta Modeli za predviđanje religijske pripadnosti autora teksta

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master's thesis

Modeli za predviđanje religijske pripadnosti autora teksta

2018. urn:nbn:hr:168:550947

Brassard, Ana

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Brassard, A. (2018). Modeli za predviđanje religijske pripadnosti autora teksta (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:550947

MLA 8th Edition

Brassard, Ana. "Modeli za predviđanje religijske pripadnosti autora teksta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:550947

Chicago 17th Edition

Brassard, Ana. "Modeli za predviđanje religijske pripadnosti autora teksta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:550947

Harvard

Brassard, A. (2018). 'Modeli za predviđanje religijske pripadnosti autora teksta', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:550947

Vancouver

Brassard A. Modeli za predviđanje religijske pripadnosti autora teksta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:550947

IEEE

A. Brassard, "Modeli za predviđanje religijske pripadnosti autora teksta", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:550947

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:550947

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Metadata

Title	Modeli za predviđanje religijske pripadnosti autora teksta
Title (english)	Text-based Religious Affiliation Prediction
Author	Ana Brassard
Mentor	Jan Šnajder (mentor)
Committee member	Jan Šnajder (predsjednik povjerenstva)
Committee member	Domagoj Jakobović (član povjerenstva)
Committee member	Marko Čupić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2018-09-26, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	U ovom radu odrađen je zadatak klasificiranja korisnika mrežnog foruma “Reddit” koji sudjeluju u debatama religijske tematike u podforumu “/r/DebateReligion” po njihovom religijskom opredjeljenju. Podaci su prvo obrađeni da bi se kreirao popis religija koje će se klasificirati, što je rezultiralo ukupno dvadeset i jednom klasom. Klase su iznimno neuravnotežene po broju korisnika u njima, te uz to ih ima velik broj. Izgrađen je sustav koji predviđa metodom glasovanja temeljnih klasifikatora koristeći LIWC značajke: skup 210 strojeva potpornih vektora, po jedan za svaki par klasa.
Abstract (english)	This work attempts to classify the religious affiliation of users of the social website “Reddit” that participate in religious debate in the “/r/DebateReligion” community. The data is first processed in order to create a list of religions to classify, which resulted in a twenty-one class list. The classes are extremely unbalanced and numerous. A base estimator voting system using LIWC features was built: a set of 210 support vector machines, one per pair of classes.
Keywords
Keywords (english)
Language	english
URN:NBN	urn:nbn:hr:168:550947
Study programme	Title: Computing Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Created on	2019-03-13 19:17:26