prikaz prve stranice dokumenta Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal
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Scientific paper - Original scientific paper
Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal
In: Proceeding of Conference on Data Mining and Data Warehouses 2021. / Grobelnik, Marko; Mladenić, Dunja (Ed.). Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses, 2021. urn:nbn:hr:195:547570
Buhin Pandur, Maja; Dobša, Jasminka; Beliga, Slobodan; Meštrović, Ana

Institutional repository: Repository of the University of Rijeka, Faculty of Informatics and Digital Technologies

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Buhin Pandur, M., Dobša, J., Beliga, S. & Meštrović, A. (2021). Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal. In M. Grobelnik, (Ed.), D. Mladenić, (Ed.), Proceeding of Conference on Data Mining and Data Warehouses 2021. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses. Retrieved from https://urn.nsk.hr/urn:nbn:hr:195:547570

Buhin Pandur, Maja, et al. "Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal." Proceeding of Conference on Data Mining and Data Warehouses 2021, edited by Marko Grobelnik, edited by Dunja Mladenić, Slovenian KDD Conference on Data Mining and Data Warehouses, 2021. https://urn.nsk.hr/urn:nbn:hr:195:547570

Buhin Pandur, Maja, Jasminka Dobša, Slobodan Beliga and Ana Meštrović. "Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal." In Proceeding of Conference on Data Mining and Data Warehouses 2021. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses, 2021. Accessed 2025 January 14. https://urn.nsk.hr/urn:nbn:hr:195:547570

Buhin Pandur, M., et al. (2021) 'Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal', in Grobelnik, M. (ed.), Mladenić, D. (ed.), Proceeding of Conference on Data Mining and Data Warehouses 2021, Slovenian KDD Conference on Data Mining and Data Warehouses, Ljubljana. Available at: https://urn.nsk.hr/urn:nbn:hr:195:547570 (Accessed 14 January 2025)

Buhin Pandur M, Dobša J, Beliga S, Meštrović A. Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal. In: M. Grobelnik, ed., D. Mladenić, ed. Proceeding of Conference on Data Mining and Data Warehouses 2021. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses; 2021. [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:195:547570

M. Buhin Pandur, J. Dobša, S. Beliga and A. Meštrović, "Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal", Proceeding of Conference on Data Mining and Data Warehouses 2021, M. Grobelnik and D. Mladenić, Eds. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses, 2021. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:195:547570 [Accessed: 14 January 2025]

Metadata
Title (english)Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal
AuthorMaja Buhin Pandur
AuthorJasminka Dobša
AuthorSlobodan Beliga
AuthorAna Meštrović
EditorMarko Grobelnik
EditorDunja Mladenić
Author's institutionUniversity of Rijeka
(Faculty of Informatics and Digital Technologies)
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract (english)
The research aims to identify topics and sentiments related to the COVID-19 pandemic in Croatian online news media. For analysis, we used news related to the COVID-19 pandemic from the Croatian portal Tportal.hr published from 1st January 2020 to 19th February 2021. Topic modelling was conducted by using the LDA method, while dominant emotions and sentiments related to extracted topics were identified by National Research Council Canada (NRC) word-emotion lexicon created originally for English and translated into Croatian, among other languages. We believe that the results of this research will enable a better understanding of the crisis communication in the Croatian media related to the COVID-19 pandemic.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleProceeding of Conference on Data Mining and Data Warehouses 2021
Numbering10
URN:NBNurn:nbn:hr:195:547570
Publication2021
ProjectNumber: IP-CORONA-2020-04-2061
Title (croatian): Višeslojni okvir za karakterizaciju širenja informacija putem društvenih medija tijekom krize COVID-19
Acronym: InfoCoV
Leader: Ana Meštrović
Jurisdiction: Croatia
Funding stream: IP-CORONA
ConferenceTitle: SiKDD Conference on Data Mining and Data Warehouses
Acronym: SiKDD
Location: Ljubljana, Slovenia
Start date: 2021-10-04
End date: 2021-10-04
Assembly type: Lecture
Document URLhttps://ailab.ijs.si/dunja/SiKDD2021/Papers/Panduretal.pdf
Type of resourceText
PublisherSlovenian KDD Conference on Data Mining and Data Warehouses
Publishing placeLjubljana
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-02-06 17:49:16