Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Slobodan Beliga"'
Autor:
Slobodan Beliga
Publikováno v:
Politehnika, Vol 4, Iss 1, Pp 7-16 (2020)
Automatska ekstrakcija ključnih riječi iz teksta aktualan je istraživački problem u području računalne analize prirodnog jezika i pretraživanja informacija. Iako su razvijene brojne metode za ekstrakciju ključnih riječi iz teksta, njihova u
Externí odkaz:
https://doaj.org/article/82bf79947348430bac48e352dfb63f04
Autor:
Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, Irena Petrijevčanin Vuksanović, Ana Meštrović
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 12, p e31540 (2021)
BackgroundOnline media play an important role in public health emergencies and serve as essential communication platforms. Infoveillance of online media during the COVID-19 pandemic is an important step toward gaining a better understanding of crisis
Externí odkaz:
https://doaj.org/article/eec3a7866a894b2fac6dfb0c1bda3d30
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11216 (2022)
Retweet prediction is an important task in the context of various problems, such as information spreading analysis, automatic fake news detection, social media monitoring, etc. In this study, we explore retweet prediction based on heterogeneous data
Externí odkaz:
https://doaj.org/article/b46ff3795ac949aa8bef947c3099b34d
Autor:
Karlo Babić, Milan Petrović, Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, Ana Meštrović
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10442 (2021)
This study aims to provide insights into the COVID-19-related communication on Twitter in the Republic of Croatia. For that purpose, we developed an NL-based framework that enables automatic analysis of a large dataset of tweets in the Croatian langu
Externí odkaz:
https://doaj.org/article/bee88f1fe5e1455ca45cbc279d714be0
Publikováno v:
Journal of Information and Organizational Sciences, Vol 39, Iss 1 (2015)
The paper surveys methods and approaches for the task of keyword extraction. The systematic review of methods was gathered which resulted in a comprehensive review of existing approaches. Work related to keyword extraction is elaborated for supervise
Externí odkaz:
https://doaj.org/article/c60517233bf44eae8807eaba0a2ebf59
Publikováno v:
The Covid-19 Pandemic as a Challenge for Media and Communication Studies ISBN: 9781003232049
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8f1eb00f2382df018f8cde6d36c0b27
https://doi.org/10.4324/9781003232049-9
https://doi.org/10.4324/9781003232049-9
Publikováno v:
MIPRO
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 th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb8c942e52d78a893cff042cc7c634f6
https://urn.nsk.hr/urn:nbn:hr:195:028914
https://urn.nsk.hr/urn:nbn:hr:195:028914
Autor:
Ana Meštrović, Slobodan Beliga, Marko Pranjic, Sanda Martinčić-Ipšić, Karlo Babić, Milan Petrović
Publikováno v:
MIPRO
In this paper, we explore the influence of COVID-19 related content in tweets on their spreadability. The experiment is performed in two steps on the dataset of tweets in the Croatian language posted during the COVID-19 pandemics. In the first step,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f3021fa8a7232e6c8f6a8565305455
https://doi.org/10.23919/mipro52101.2021.9596693
https://doi.org/10.23919/mipro52101.2021.9596693
Autor:
Slobodan Beliga, Sanda Martinčić-Ipšić, Mihaela Matešić, Irena Petrijevčanin Vuksanović, Ana Meštrović
BACKGROUND Online media play an important role in public health emergencies and serve as essential communication platforms. Infoveillance of online media during the COVID-19 pandemic is an important step toward gaining a better understanding of crisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7308cebc47bf70acddb665367c6261bf
https://doi.org/10.2196/preprints.31540
https://doi.org/10.2196/preprints.31540
Autor:
Ana Meštrović, Slobodan Beliga, Karlo Babić, Sanda Martinčić-Ipšić, Andrzej Jarynowski, Milan Petrović
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811617805
ICICT (3)
ICICT (3)
In this paper, we analyze and compare Croatian and Polish Twitter datasets. After collecting tweets related to COVID-19 in the period from 20.01.2020 until 01.07.2020, we automatically annotated positive, negative, and neutral tweets with a simple me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ab247662acbd33d20ebf1363604a7e1
https://www.bib.irb.hr/1142868
https://www.bib.irb.hr/1142868