prikaz prve stranice dokumenta Programski sustav za analizu i predviđanje cijena kriptovaluta
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master's thesis
Programski sustav za analizu i predviđanje cijena kriptovaluta
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:451868
Rački, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rački, L. (2021). Programski sustav za analizu i predviđanje cijena kriptovaluta (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:451868

Rački, Luka. "Programski sustav za analizu i predviđanje cijena kriptovaluta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:451868

Rački, Luka. "Programski sustav za analizu i predviđanje cijena kriptovaluta." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:451868

Rački, L. (2021). 'Programski sustav za analizu i predviđanje cijena kriptovaluta', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:451868

Rački L. Programski sustav za analizu i predviđanje cijena kriptovaluta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:451868

L. Rački, "Programski sustav za analizu i predviđanje cijena kriptovaluta", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:451868

Metadata
TitleProgramski sustav za analizu i predviđanje cijena kriptovaluta
Title (english)Software system for analyzing and forecasting cryptocurrency prices
AuthorLuka Rački
MentorMirta Baranović (mentor)
Committee memberMirta Baranović (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberSlaven Zakošek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-02-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad obrađuje temu istraživanja mogućnosti predviđanja kretanja cijena kriptovaluta na osnovu analize sentimenta objava na Twitteru, u svrhu istraživanja prikupljeno je više od 150 dana objavljenih podataka s društvene mreže Twitter te je nad tim podatcima provedena analiza sentimenta pomoću programskog jezika Python. Koristeći dobivene rezultate analize sentimenta pomoću programskog jezika Python izgrađen je model za predviđanje koji koristi linearnu regresiju. Rezultati istraživanja prikazani su uz frontend dio aplikacije koja je izgrađena pomoću JavaScript biblioteke React. U radu je opisana teorijska pozadina iza istraživanja i realizacija sustava.
Abstract (english)
This work's theme is creating a software system for the research of potential correlation between cryptocurrency prices and sentiment analysis computed from Twitter posts. Twitter post data has been gather for over 150 days which was used to compute the daily sentiment using Python. The sentiment analysis results were then used to compute a linear regression model to create price movement predictions. The reasearch results are displayed using the frontend part of the aplication created using the JavaScript library React.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:451868
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 10:39:07