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Title:A global COVID-19 observatory, monitoring the pandemics through text mining and visualization
Authors:ID Massri, Besher M., Institut "Jožef Stefan" (Author)
ID Pita Costa, João (Author)
ID Grobelnik, Marko (Author)
ID Brank, Janez (Author)
ID Stopar, Luka (Author)
ID Bauer, Andrej (Author)
Files:.pdf PDF - Presentation file, download (3,46 MB)
MD5: 3BBB78033DD7771BF5C40C5BB9102C9F
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:The global health situation due to the SARS-COV-2 pandemic motivated an unprecedented contribution of science and technology from companies and communities all over the world to fight COVID-19. In this paper, we present the impactful role of text mining and data analytics, exposed publicly through IRCAI's Coronavirus Watch portal. We will discuss the available technology and methodology, as well as the ongoing research based on the collected data.
Keywords:rudarjenje besedil, podatkovna analitika, vizualizacija podatkov, javno zdravje, COVID-19
Publication status:Published
Publication version:Version of Record
Submitted for review:23.11.2020
Publication date:15.03.2022
Publisher:Slovenian Society Informatika
Year of publishing:2022
Number of pages:str. 49-55
Numbering:Vol. 46, no. 1
Source:Slovenija
PID:20.500.12556/DiRROS-24968 New window
UDC:004.8
ISSN on article:0350-5596
DOI:10.31449/inf.v46i1.3375 New window
COBISS.SI-ID:107602179 New window
Copyright:Copyright © Slovenian Society Informatika
Publication date in DiRROS:06.01.2026
Views:221
Downloads:61
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Record is a part of a journal

Title:Informatica : an international journal of computing and informatics
Shortened title:Informatica
Publisher:Slovene Society Informatika
ISSN:0350-5596
COBISS.SI-ID:746244 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:European research and innovation programme
Project number:761758
Acronym:Humane AI

Funder:EC - European Commission
Funding programme:Big Data Supporting Public Health Policies
Project number:727721

Funder:Air Force Office of Scientific Research
Project number:FA9550-17-1-0326

Licences

License:CC BY 3.0, Creative Commons Attribution 3.0 Unported
Link:https://creativecommons.org/licenses/by/3.0/deed.en
Description:You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Licensing start date:15.03.2022
Applies to:VoR

Secondary language

Language:Slovenian
Abstract:Opisana je vloga rudarjenja besedil in podatkovne analitike na primeru portala IRCAI’s Coronavirus Watch.


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