prikaz prve stranice dokumenta Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje
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undergraduate thesis
Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:835357
Bošnjak, Katarina
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bošnjak, K. (2022). Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:835357

Bošnjak, Katarina. "Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:835357

Bošnjak, Katarina. "Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:835357

Bošnjak, K. (2022). 'Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:835357

Bošnjak K. Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:835357

K. Bošnjak, "Web aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:835357

Metadata
TitleWeb aplikacija za raspoznavanje raspoloženja pjesama s usluge Spotify koristeći strojno učenje
Title (english)Web application for recognizing the mood of songs from Spotify service
AuthorKatarina Bošnjak
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je opisana implementacija tri različita algoritma strojnog učenja: neuronska mreža, slučajna šuma i stroj potpornih vektora. Uspoređene su njihove performanse. Izabrana je neuronska mreža koja je ukomponirana u web aplikaciju te korisnicima otkriva raspoloženja odabranih pjesama.
Abstract (english)
The paper describes the implementation of three different machine learning algorithms: neural network, random forest and support vector machine. Their performances were compared. A neural network was chosen, which was then integrated into the web application that calculates the moods of the selected songs and presents them to the user.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:835357
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 on2023-01-15 09:48:55