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master's thesis
Radni okvir za analizu sadržaja na društvenim mrežama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:462777
Vukasović, Šime
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vukasović, Š. (2022). Radni okvir za analizu sadržaja na društvenim mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:462777

Vukasović, Šime. "Radni okvir za analizu sadržaja na društvenim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:462777

Vukasović, Šime. "Radni okvir za analizu sadržaja na društvenim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:462777

Vukasović, Š. (2022). 'Radni okvir za analizu sadržaja na društvenim mrežama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 06 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:462777

Vukasović Š. Radni okvir za analizu sadržaja na društvenim mrežama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 06] Available at: https://urn.nsk.hr/urn:nbn:hr:168:462777

Š. Vukasović, "Radni okvir za analizu sadržaja na društvenim mrežama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:462777

Metadata
TitleRadni okvir za analizu sadržaja na društvenim mrežama
Title (english)A Framework for Social Network Content Analysis
AuthorŠime Vukasović
MentorVedran Podobnik (mentor)
Committee memberVedran Podobnik (predsjednik povjerenstva)
Committee memberLea Skorin-Kapov (član povjerenstva)
Committee memberŽeljka Car (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisano je rješenje za analizu sadržaja teksta društvenih mreža. Koristeći Twitterov API za podatke (tweetove) implementiran je Go Fiber http poslužitelj za dohvaćanje i spremanje podataka, te je korištena R skripta za analizu sadržaja tweetova. Poslužitelj pokreće R skriptu povezujući se s R instancom koja je dostupna putem funkcije Rserve. Specifična analiza je stvaranje mreže (grafa) riječi iz tweetova, koja vraća parametre koji opisuju mrežu. Uz to, generira se oblak riječi i radi se sentiment analiza osjećaja za sve riječi kako bi se odredio najrelevantniji sadržaj tweetova i njegovo značenje. U radu su također opisani nedostaci opisanog rješenja, kako bi se ono moglo poboljšati te na što se fokusirati u daljnjem razvoju.
Abstract (english)
In this paper, a solution for social media text content analysis was described. Using Twitter's API for data, specifically tweets, a Go Fiber http server was implemented to fetch said data, and an R script was used to analyse the content of the tweets. The server runs the R script by connecting to an R instance which is available through the Rserve functionality. Specific analysis is the creation of a word network from tweets, returning parameters that describe the network. Along with that, a word cloud is generated and sentiment analysis is done on all of the words to determine the most relevant content of the tweets and its meaning. The paper also describes the flaws of the described solution, how it could be improved, and which avenues to take in further development.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:462777
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 16:31:33