prikaz prve stranice dokumenta Analiza sentimenta
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undergraduate thesis
Analiza sentimenta
2020. urn:nbn:hr:126:997547
Buday, Lovro
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics
Computer Science Research Group

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Buday, L. (2020). Analiza sentimenta (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:997547

Buday, Lovro. "Analiza sentimenta." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:997547

Buday, Lovro. "Analiza sentimenta." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:997547

Buday, L. (2020). 'Analiza sentimenta', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 14 May 2022, https://urn.nsk.hr/urn:nbn:hr:126:997547

Buday L. Analiza sentimenta [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2020 [cited 2022 May 14] Available at: https://urn.nsk.hr/urn:nbn:hr:126:997547

L. Buday, "Analiza sentimenta", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:126:997547

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Metadata
TitleAnaliza sentimenta
Title (english)Sentiment Analysis
AuthorLovro Buday
MentorDomagoj Ševerdija (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Applied Mathematics)
(Computer Science Research Group)
Osijek
Defense date and country2020-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovome radu bavit ćemo se problemom analize sentimenta. Problem analize sentimenta je problem izvlačenja emocionalnog tona iz određnog teksta. Problemćemo rješavati strojnim učenjem, proći ćemo modele strojnog učenja koje koristimo i zašto. Rad detaljno prolazi način na koji reprezentiramo tekst modelu strojnog učenja. Učinkovitost metoda će biti potkrijepljena formulama ili citiranjem prijašnjih radova o zadanim temama.
Abstract (english)
In this paper we are going to go over the problem of sentiment analysis. That is the problem of extracting the emotional tone from a given text. We are going to solve it using machine learning, the paper goes over the models of machine learning we are going to use and it goes over why we use them. It includes a detailed look at how we represent the text to our machine learning model. The eectiveness of the methods is going to be backed up by formulas or by quoting previous papers done on the subject.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:997547
Study programmeTitle: University undergraduate study programme in mathematics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-11-16 08:17:57