prikaz prve stranice dokumenta Analiza teksta u digitalnim sadržajima
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master's thesis
Analiza teksta u digitalnim sadržajima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:214627
Kosović, Sunčica
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kosović, S. (2020). Analiza teksta u digitalnim sadržajima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:214627

Kosović, Sunčica. "Analiza teksta u digitalnim sadržajima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:214627

Kosović, Sunčica. "Analiza teksta u digitalnim sadržajima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:214627

Kosović, S. (2020). 'Analiza teksta u digitalnim sadržajima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:214627

Kosović S. Analiza teksta u digitalnim sadržajima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:214627

S. Kosović, "Analiza teksta u digitalnim sadržajima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:214627

Metadata
TitleAnaliza teksta u digitalnim sadržajima
Title (english)Text analysis in digital contents
AuthorSunčica Kosović
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberMarin Vuković (član povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu prikazano je korištenje klasifikacije kao vrste nadziranog strojnog učenja u svrhu analize teksta u digitalnim sadržajima prikupljenim sa društvene mreže Twitter. Nakon dohvaćanja podataka, napravljena je ručna klasifikacija prikupljenih objava, koje su uz pomoć Python biblioteka pretvorene u oblik pogodan za izgradnju klasifikatora. Korišten je Naivni Bayes-ov klasifikator i SVM(engl. Support Vector Machine) algoritam. Model na osnovu kojeg se nove objave klasificiraju unutar unaprijed određenih klasa implementiran je unutar web aplikacije koja konačne rezultate ispisuje na web sučelju.
Abstract (english)
This paper presents the use of classification as a type of supervised machine learning for the purpose of text analysis in digital content collected from the social network Twitter. Next step after retrieving dana was manual classification of that same data which were afterwards converted into a form suitable for building classifiers with the help of Python libraries. The Naive Bayes classifier and the Support Vector Machine (SVM) algorithm were used. The model based on which new posts are classified within predefined classes is implemented within a web application that prints the final results on a web interface.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:214627
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 10:11:07