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undergraduate thesis
RUDARENJE TEKSTA: ANALIZA SENTIMENTA
2016. urn:nbn:hr:225:601484
Durbek, Igor
Algebra University College

Cite this document

Durbek, I. (2016). RUDARENJE TEKSTA: ANALIZA SENTIMENTA (Undergraduate thesis). Zagreb: Algebra University College. Retrieved from https://urn.nsk.hr/urn:nbn:hr:225:601484

Durbek, Igor. "RUDARENJE TEKSTA: ANALIZA SENTIMENTA." Undergraduate thesis, Algebra University College, 2016. https://urn.nsk.hr/urn:nbn:hr:225:601484

Durbek, Igor. "RUDARENJE TEKSTA: ANALIZA SENTIMENTA." Undergraduate thesis, Algebra University College, 2016. https://urn.nsk.hr/urn:nbn:hr:225:601484

Durbek, I. (2016). 'RUDARENJE TEKSTA: ANALIZA SENTIMENTA', Undergraduate thesis, Algebra University College, accessed 24 October 2024, https://urn.nsk.hr/urn:nbn:hr:225:601484

Durbek I. RUDARENJE TEKSTA: ANALIZA SENTIMENTA [Undergraduate thesis]. Zagreb: Algebra University College; 2016 [cited 2024 October 24] Available at: https://urn.nsk.hr/urn:nbn:hr:225:601484

I. Durbek, "RUDARENJE TEKSTA: ANALIZA SENTIMENTA", Undergraduate thesis, Algebra University College, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:225:601484

Metadata
TitleRUDARENJE TEKSTA: ANALIZA SENTIMENTA
AuthorIgor Durbek
MentorMarko Velić (mentor)
GranterAlgebra University College
Zagreb
Defense date and country2016-03-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad pruža pogled na rudarenje teksta, s posebnim naglaskom na analizu sentimenta. Rad također uključuje iznalaženje teksta, koje vidi kao dio rudarenja teksta, te strojno učenje, s naglaskom na zadatak klasifikacije.Rad obuhvaća razne dijelove procesa rudarenja teksta, od procesa poput pretprocesiranja i korjenovanja, do praktičnih zadataka poput pronalaska plagijata, analize sentimenta recenzija bebinih proizvoda, i sličnih zadataka.Rad demonstrira praktičnu korisnost rudarenja teksta u poslovnom svijetu, medicini, i tako dalje.
Abstract (english)
This thesis offers a view on text mining, with special care given to sentiment analysis. The thesis also includes information retrieval, which it sees as a part of text mining, and machine learning, with a focus on classification.The thesis includes early parts of the text mining process, including processes like preprocessing and stemming, up to practical tasks like plagiarism detection, the sentiment analysis of baby product reviews, and similar tasks.The thesis demonstrates the practical usability of text mining in the world of business, medicine, and so on.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:225:601484
Study programmeTitle: Computer Engineering - Undergraduate Professional Program
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2019-04-12 16:01:16