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The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
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5 research outcomes, page 1 of 1
  • other research product . 2021
    Open Access English
    Authors:
    Toledo Margalef, Pablo; Balcazar, Emanuel; Ordinez, Leonardo; Delrieux, Claudio; Allende, Lucila;
    Country: Argentina

    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 ...

  • other research product . 2021
    Open Access English
    Authors:
    Perdomo, Luciano; Ordinez, Leonardo;
    Country: Argentina

    In Argentina there was a great growth of e-commerce due to the COVID-19 pandemic. With the aim of helping local companies to understand the market and help them in decision making, data were obtained from online shoe sales sites and with them Machine Learning models wer...

  • other research product . 2021
    Open Access English
    Authors:
    Alvarado, Yoselie; Rodríguez, Graciela; Jofré, Nicolás; Fernández, Jacqueline; Guerrero, Roberto A.;
    Country: Argentina

    Some time ago Virtual Reality and Augmented Reality were exclusively devoted to the gaming industry. Nowadays, both technologies are experiencing a deep interest from various spheres, including healthcare sector. The new infectious disease COVID-19 has had a catastrophi...

  • other research product . 2020
    Open Access English
    Authors:
    Díaz, Francisco Javier; D'Agostino, Sandra; Molinari, Lía Hebe; Osorio, Alejandra; Amadeo, Ana Paola; Vaena, Rubén Abel;
    Country: Argentina

    The Phone Line 148 (in spanish, Centro de Atencion Integral Telefonica-linea 148, CAIT) of the de Government of Province of Buenos Aires (Argentina) is the telephone communication channel with citizens for consultations about general provincial procedures. During the CO...

  • other research product . 2020
    Open Access English
    Authors:
    Rosati, Germán; Domenech, Laia; Chazarreta, Adriana Silvina; Maguire, Tomás;
    Country: Argentina

    We present a first approximation to the quantification of social representations about the COVID-19, using news comments. A web crawler was developed to construct the dataset of reader’s comments. We detect relevant topics in the dataset using Latent Dirichlet Allocatio...

5 research outcomes, page 1 of 1