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Pregled bibliografske jedinice broj: 1151741

Topic Modelling of Croatian News During COVID-19 Pandemic


Bogović, Petar Kristijan; Meštrović, Ana; Beliga, Slobodan; Martinčić-Ipšić, Sanda
Topic Modelling of Croatian News During COVID-19 Pandemic // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj (ur.).
Opatija: Croatian Society for Information, Communication and Electronic Technology – MIPRO, 2021. str. 1044-1051 doi:10.23919/MIPRO52101.2021.9597125 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1151741 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Topic Modelling of Croatian News During COVID-19 Pandemic

Autori
Bogović, Petar Kristijan ; Meštrović, Ana ; Beliga, Slobodan ; Martinčić-Ipšić, Sanda

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj - Opatija : Croatian Society for Information, Communication and Electronic Technology – MIPRO, 2021, 1044-1051

Skup
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
topic modelling ; Latent Dirichelt Allocation ; coherence ; Croatian news ; COVID-19 infodemic

Sažetak
This paper addresses topic modelling in Croatian news articles related to COVID-19 pandemics and corresponding comments. We identify and analyze Croatian online news media’s main topics for the first nine months of pandemics shedding some light on the leading themes covered in news articles and corresponding comments. Topics are derived automatically by training the model and calculating topics’ coherence values. We report the results by listing the top 15 detected words in top 10 detected topics from the content of articles and corresponding comments. Our findings include the analysis of intersected topics and discussion of dissents. Obtained results are the first step toward better information monitoring and hopefully mitigating the infodemics effect in Croatia.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
HRZZ-IP-CORONA-2020-04-2061 - Višeslojni okvir za karakterizaciju širenja informacija putem društvenih medija tijekom krize COVID-19 (InfoCoV) (Meštrović, Ana, HRZZ - 2020-04) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-drustv-18-20 - Izlučivanje ključnih riječi i sažimanje tekstova na temelju reprezentacije u mrežama jezika-LangNet (LangNet) (Martinčić-Ipšić, Sanda, NadSve - Natječaj za dodjelu sredstava potpore znanstvenim istraživanjima na Sveučilištu u Rijeci za 2018. godinu - projekti iskusnih znanstvenika i umjetnika) ( CroRIS)

Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka

Poveznice na cjeloviti tekst rada:

doi www.mipro.hr ieeexplore.ieee.org

Citiraj ovu publikaciju:

Bogović, Petar Kristijan; Meštrović, Ana; Beliga, Slobodan; Martinčić-Ipšić, Sanda
Topic Modelling of Croatian News During COVID-19 Pandemic // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj (ur.).
Opatija: Croatian Society for Information, Communication and Electronic Technology – MIPRO, 2021. str. 1044-1051 doi:10.23919/MIPRO52101.2021.9597125 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bogović, P., Meštrović, A., Beliga, S. & Martinčić-Ipšić, S. (2021) Topic Modelling of Croatian News During COVID-19 Pandemic. U: Skala, K. (ur.)2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings doi:10.23919/MIPRO52101.2021.9597125.
@article{article, author = {Bogovi\'{c}, Petar Kristijan and Me\v{s}trovi\'{c}, Ana and Beliga, Slobodan and Martin\v{c}i\'{c}-Ip\v{s}i\'{c}, Sanda}, editor = {Skala, K.}, year = {2021}, pages = {1044-1051}, DOI = {10.23919/MIPRO52101.2021.9597125}, keywords = {topic modelling, Latent Dirichelt Allocation, coherence, Croatian news, COVID-19 infodemic}, doi = {10.23919/MIPRO52101.2021.9597125}, title = {Topic Modelling of Croatian News During COVID-19 Pandemic}, keyword = {topic modelling, Latent Dirichelt Allocation, coherence, Croatian news, COVID-19 infodemic}, publisher = {Croatian Society for Information, Communication and Electronic Technology – MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Bogovi\'{c}, Petar Kristijan and Me\v{s}trovi\'{c}, Ana and Beliga, Slobodan and Martin\v{c}i\'{c}-Ip\v{s}i\'{c}, Sanda}, editor = {Skala, K.}, year = {2021}, pages = {1044-1051}, DOI = {10.23919/MIPRO52101.2021.9597125}, keywords = {topic modelling, Latent Dirichelt Allocation, coherence, Croatian news, COVID-19 infodemic}, doi = {10.23919/MIPRO52101.2021.9597125}, title = {Topic Modelling of Croatian News During COVID-19 Pandemic}, keyword = {topic modelling, Latent Dirichelt Allocation, coherence, Croatian news, COVID-19 infodemic}, publisher = {Croatian Society for Information, Communication and Electronic Technology – MIPRO}, publisherplace = {Opatija, Hrvatska} }

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