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undergraduate thesis
Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:839815
Gombar, Paula
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Gombar, P. (2015). Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:839815

Gombar, Paula. "Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:839815

Gombar, Paula. "Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:839815

Gombar, P. (2015). 'Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:839815

Gombar P. Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 June 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:839815

P. Gombar, "Kontekstno ovisna analiza sentimenta izraza hrvatskoga jezika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:839815

Metadata
TitleKontekstno ovisna analiza sentimenta izraza hrvatskoga jezika
Title (english)Contextual Sentiment Analysis of Croatian Expressions
AuthorPaula Gombar
MentorJan Šnajder (mentor)
Committee memberJan Šnajder (predsjednik povjerenstva)
Committee memberGoran Glavaš (član povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Porastom raspoloživih količina korisnički generiranog sadržaja povećalo se zanimanje za strojnom analizom sentimenta, kojom se utvrđuje je li tekst usmjeren pozitivno, negativno ili neutralno. U radu su proučeni postupci za analizu sentimenta s naglaskom na postupak temeljen na strojnom učenju. Razrađen je model za kontekstno ovisnu analizu sentimenta izraza hrvatskoga jezika temeljen na modelu nadziranog strojnog učenja, po uzoru na rad Wilsona i dr. (2005). Izgrađen je i ručno označen odgovarajući skup tekstnih podataka na hrvatskome jeziku za razvoj i ispitivanje modela. Provedeno je iscrpno eksperimentalno vrednovanje modela, statistička obrada rezultata i analiza pogrešaka.
Abstract (english)
Given the increase in the amount of available user-generated content, there has been rising interest in sentiment analysis based on machine learning, which determines whether the text attitude is positive, negative or neutral. This paper examines methods for sentiment analysis with a special focus on methods based on machine learning. A model for contextual sentiment analysis of Croatian expressions has been devised, based on the supervised machine learning model described in the work of Wilson et al. (2005). An appropriate dataset consisting of texts in Croatian was manually built and annotated. It was used for model development and testing. An exhaustive experimental evaluation of the model was conducted, along with statistical result and error analysis.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:839815
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 on2018-02-06 08:56:47