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master's thesis
Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa
2021. urn:nbn:hr:195:789102
Ilić, Anton
University of Rijeka
Faculty of Informatics and Digital Technologies

Cite this document

Ilić, A. (2021). Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa (Master's thesis). Rijeka: University of Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:195:789102

Ilić, Anton. "Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa." Master's thesis, University of Rijeka, 2021. https://urn.nsk.hr/urn:nbn:hr:195:789102

Ilić, Anton. "Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa." Master's thesis, University of Rijeka, 2021. https://urn.nsk.hr/urn:nbn:hr:195:789102

Ilić, A. (2021). 'Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa', Master's thesis, University of Rijeka, accessed 10 July 2024, https://urn.nsk.hr/urn:nbn:hr:195:789102

Ilić A. Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa [Master's thesis]. Rijeka: University of Rijeka; 2021 [cited 2024 July 10] Available at: https://urn.nsk.hr/urn:nbn:hr:195:789102

A. Ilić, "Analiza sentimenta novinskih članaka vezanih za tematiku koronavirusa", Master's thesis, University of Rijeka, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:195:789102

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Metadata
TitleAnaliza sentimenta novinskih članaka vezanih za tematiku koronavirusa
AuthorAnton Ilić
MentorAna Meštrović (mentor)
MentorSlobodan Beliga (komentor)
Committee memberSanda Martinčić-Ipšić (predsjednik povjerenstva)
Committee memberBožidar Kovačić (član povjerenstva)
GranterUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Rijeka
Defense date and country2021-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Početkom 2020. godine, pandemija novog koronavirusa SARS-Cov-2 je zahvatila cijeli svijet te svojim utjecajem promijenila naše načine života u društvenom i digitalnom smislu. Cilj ovog rada je utvrditi utjecaj pandemije na medijsko izvještavanje te izmjeriti emocionalni utjecaj tog izvještavanja na čitatelje programskim putem metodama analize sentimenta. U tu svrhu je prikazan cijeli postupak rudarenja mišljenja od faze automatiziranog prikupljanja i strukturiranja podataka, do njihove obrade i analize. U fazi analize su prikazane osnove statističkih opažanja iz prikupljenih podataka te njihova interpretacija u kontekstu pandemije i naravi ljudskog mišljenja u negativnom i ne-negativnom smislu. Nadalje u radu je demonstriran rad i provedena usporedba efikasnosti korištenja konvencionalnih lingvističkih metoda s modernijim pristupima baziranih na umjetnoj inteligenciji.
Abstract (english)
In early 2020, a pandemic of the novel coronavirus SARS-Cov-2 spread to the entire world and its impact changed our ways of life in a social and digital sense. The aim of this paper is to determine the impact of the pandemic on media reporting and to measure the emotional impact of this reporting on readers through programmatic methods of sentiment analysis. For this purpose, the whole process of opinion mining is presented which includes the phase of automated data collection and structuring, through to their processing and analysis. The analysis phase presents the basics of statistical observations from the collected data and their interpretation in the context of the pandemic and the nature of human opinion in a negative and non-negative sense. Furthermore, the paper demonstrates the work and compares the efficiency of using conventional linguistic methods with more modern approaches based on artificial intelligence.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:195:789102
Study programmeTitle: Informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-09-21 13:49:29