Artículo
Digital Narratives of COVID-19: A Twitter Dataset for Text Analysis in Spanish
Fecha de publicación:
06/2021
Editorial:
Ubiquity press
Revista:
Journal of Open Humanities Data
e-ISSN:
2059-481X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Digital Narratives of COVID-19 (DHCovid) offers a curated Twitter corpus of digital conversations about the Coronavirus pandemic. The dataset is collected through a script via Twitter’s Application Programming Interface (API) starting on April 24th, 2020, and stored on GitHub as an open access repository of tweet identifiers that can be consulted, downloaded, and reused by scholars interested in Natural Language Processing (NLP), topic modelling, and other quantitative methods. A stable version of the dataset has also been released through Zenodo. Twitter datasets are structured in three main collections: tweets in Spanish worldwide; geolocated tweets in six Spanishspeaking areas spanning North and Central America (Mexico, Columbia, Ecuador), South America (Argentina, Peru), and Europe (Spain); and geolocated tweets in English and Spanish from the greater Miami area in South Florida.
Palabras clave:
NARRATIVAS
,
TWITTER
,
MINERIA DE TEXTOS
,
VISUALIZACION DE DATOS
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IIBICRIT)
Articulos de INST.DE INVEST.BIBLIOGRAFICAS Y CRITICA TEXTUAL
Articulos de INST.DE INVEST.BIBLIOGRAFICAS Y CRITICA TEXTUAL
Citación
Allés Torrent, Susanna; del Rio, María Gimena; Bonnell, Jerry; Song, Dieyun; Hernández, Nidia; Digital Narratives of COVID-19: A Twitter Dataset for Text Analysis in Spanish; Ubiquity press; Journal of Open Humanities Data; 7; 6-2021; 1-7
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