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An approach for the analysis of news during COVID-19 in the Chubut province

Belongs to book: Short papers of the 9th Conference on Cloud Computing Conference, Big Data & Emerging Topics
Document type: Objeto de conferencia

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.

General information

Exposure date: 2021
Issue date: 2021
Document language: English
Event: IX Jornadas de Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 22 al 25 de junio de 2021)
Origin: Facultad de Informática
ISBN: 978-950-34-2016-4
Pages: 42-46
xmlui.dri2xhtml.METS-1.0.item-dc-subject: LDA ; COVID-19 ; Media ; News ; NLP ; Scraping
Subjects: Ciencias Informáticas

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Created: 20 de septiembre de 2021
Available since: 20 de septiembre de 2021
Please, use one of this identificators(URI) for cite o linking this item:
  • http://sedici.unlp.edu.ar/handle/10915/125148

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    Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)