Conceptualizing the use of the term financial risk by non-academics and academics using twitter messages and ScienceDirect paper abstracts

A text mining technique, based on an Application Programming Interface (API) request—using narrative data from Twitter(™) and ScienceDirect(™)—was used to identify how non-academics and academics conceptualize and evaluate sentiment indicators associated with the term financial risk in their communi...

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Detalles Bibliográficos
Autores principales: Kwak, Eun Jin, Grable, John E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776315/
https://www.ncbi.nlm.nih.gov/pubmed/33425061
http://dx.doi.org/10.1007/s13278-020-00709-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776315/
https://www.ncbi.nlm.nih.gov/pubmed/33425061
http://dx.doi.org/10.1007/s13278-020-00709-9

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