prikaz prve stranice dokumenta Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal
  Preuzmi
PDF 741.49 KB
Znanstveni rad - Izvorni znanstveni rad
Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal
U: Proceeding of Conference on Data Mining and Data Warehouses 2021. / Grobelnik, Marko; Mladenić, Dunja (ur.). 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

Citirajte ovaj rad

Buhin Pandur, M., Dobša, J., Beliga, S. i Meštrović, A. (2021). Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal. U M. Grobelnik, (Ur.), D. Mladenić, (Ur.), Proceeding of Conference on Data Mining and Data Warehouses 2021. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses. Preuzeto s 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, Ur. Marko Grobelnik, Ur. 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 i Ana Meštrović. "Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal." U Proceeding of Conference on Data Mining and Data Warehouses 2021. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses, 2021. Citirano 24.11.2024.. 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', u Grobelnik, M. (ur.), Mladenić, D. (ur.), Proceeding of Conference on Data Mining and Data Warehouses 2021, Slovenian KDD Conference on Data Mining and Data Warehouses, Ljubljana. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:195:547570 (Datum pristupa: 24.11.2024.)

Buhin Pandur M, Dobša J, Beliga S, Meštrović A. Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal. U: M. Grobelnik, ur., D. Mladenić, ur. Proceeding of Conference on Data Mining and Data Warehouses 2021. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses; 2021. [pristupljeno 24.11.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:547570

M. Buhin Pandur, J. Dobša, S. Beliga i 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 i D. Mladenić, Ur. Ljubljana: Slovenian KDD Conference on Data Mining and Data Warehouses, 2021. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:547570 [Citirano: 24.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:195:547570
Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.
Podaci o radu
Naslov (engleski)Topic modelling and sentiment analysis of COVID-19 related news on Croatian Internet portal
AutorMaja Buhin Pandur
AutorJasminka Dobša
AutorSlobodan Beliga
AutorAna Meštrović
UrednikMarko Grobelnik
UrednikDunja Mladenić
Autorova ustanovaSveučilište u Rijeci
(Fakultet informatike i digitalnih tehnologija)
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaProceeding of Conference on Data Mining and Data Warehouses 2021
Brojčani podaci10
URN:NBNurn:nbn:hr:195:547570
Datum objave publikacije2021
ProjektŠifra: IP-CORONA-2020-04-2061
Naziv (hrvatski): Višeslojni okvir za karakterizaciju širenja informacija putem društvenih medija tijekom krize COVID-19
Kratica: InfoCoV
Voditelj: Ana Meštrović
Pravna nadležnost: Hrvatska
Financijer: HRZZ
Linija financiranja: IP-CORONA
SkupNaziv: SiKDD Conference on Data Mining and Data Warehouses
Kratica: SiKDD
Lokacija: Ljubljana, Slovenija
Datum početka: 2021-10-04
Datum završetka: 2021-10-04
Vrsta izlaganja: Predavanje
URL dokumentahttps://ailab.ijs.si/dunja/SiKDD2021/Papers/Panduretal.pdf
Vrsta resursaTekst
IzdavačSlovenian KDD Conference on Data Mining and Data Warehouses
Mjesto izdavanjaLjubljana
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2023-02-06 17:49:16