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dc.date.accessioned 2021-09-20T12:29:31Z
dc.date.available 2021-09-20T12:29:31Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/125148
dc.description.abstract The present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining promising results. en
dc.format.extent 42-46 es
dc.language en es
dc.subject LDA es
dc.subject COVID-19 es
dc.subject Media es
dc.subject News es
dc.subject NLP es
dc.subject Scraping es
dc.title An approach for the analysis of news during COVID-19 in the Chubut province en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2016-4 es
sedici.creator.person Toledo Margalef, Pablo es
sedici.creator.person Balcazar, Emanuel es
sedici.creator.person Ordinez, Leonardo es
sedici.creator.person Delrieux, Claudio es
sedici.creator.person Allende, Lucila es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2021
sedici.relation.event IX Jornadas de Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 22 al 25 de junio de 2021) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/121564 es
sedici.relation.bookTitle Short papers of the 9th Conference on Cloud Computing Conference, Big Data & Emerging Topics es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)