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

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.

Guardado en:
Detalles Bibliográficos
Autores principales: Toledo Margalef, Pablo, Balcazar, Emanuel, Ordinez, Leonardo, Delrieux, Claudio, Allende, Lucila
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
LDA
COVID-19
Media
News
NLP
Scraping
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/125148
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
Descripción
Sumario: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.

Ejemplares similares