COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations

Detalhes bibliográficos
Autor(a) principal: Marques, Alberto
Data de Publicação: 2021
Outros Autores: Barroso , Suélem S. P.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Observatório
Texto Completo: https://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693
Resumo: This research aims to develop the Minimum Viable Product (MVP) of a cloud platform that transforms structured data into automated text, to enhance the production of content in Brazilian stock brokerage companies. It  is based on applied research that combines different techniques for the development of MVP. As a theoretical path to support product development, it permeates strategic communication in corporations, as well as the adoption of algorithms and content automation in journalistic production. Among the results achieved, the work presents the logic of infrastructure of macro operation for the newsbot and the main elements for the many layers of development that an application of this nature needs.
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spelling COMPUTATIONAL ASSISTANCE: newsbot development for financial organizationsASESORÍA COMPUTACIONAL: desarrollo de newsbot para organizaciones financierasCOMPUTATIONAL ASSISTANCE: newsbot development for financial organizationsStrategic communicationOrganizational strategyAutomated content;NewsbotAlgorithmscommunicationStrategic communicationOrganizational strategyAutomated content;NewsbotAlgorithmsThis research aims to develop the Minimum Viable Product (MVP) of a cloud platform that transforms structured data into automated text, to enhance the production of content in Brazilian stock brokerage companies. It  is based on applied research that combines different techniques for the development of MVP. As a theoretical path to support product development, it permeates strategic communication in corporations, as well as the adoption of algorithms and content automation in journalistic production. Among the results achieved, the work presents the logic of infrastructure of macro operation for the newsbot and the main elements for the many layers of development that an application of this nature needs.Universidade Federal do Tocantins - UFT2021-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/1369310.20873/uft.2447-4266.2021v7n3a9enObservatory Journal; Vol. 7 No. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9enObservatorio Magazine; Vol. 7 Núm. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9enObservatoire Journal; Vol. 7 No. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9enRevista Observatório ; v. 7 n. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9en2447-426610.20873/uft.2447-4266.2021v7n3reponame:Revista Observatórioinstname:Universidade Federal do Tocantins (UFT)instacron:UFTporhttps://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693/19661https://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693/19668Copyright (c) 2021 Revista Observatório info:eu-repo/semantics/openAccessMarques, AlbertoBarroso , Suélem S. P. 2022-03-25T20:07:19Zoai:ojs.revista.uft.edu.br:article/13693Revistahttps://sistemas.uft.edu.br/periodicos/index.php/observatorio/indexPUBhttps://sistemas.uft.edu.br/periodicos/index.php/observatorio/oaigilsonportouft@gmail.com||gilsonporto@uft.edu.br||2447-42662447-4266opendoar:2022-03-25T20:07:19Revista Observatório - Universidade Federal do Tocantins (UFT)false
dc.title.none.fl_str_mv COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
ASESORÍA COMPUTACIONAL: desarrollo de newsbot para organizaciones financieras
COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
title COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
spellingShingle COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
Marques, Alberto
Strategic communication
Organizational strategy
Automated content;
Newsbot
Algorithms
communication
Strategic communication
Organizational strategy
Automated content;
Newsbot
Algorithms
title_short COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
title_full COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
title_fullStr COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
title_full_unstemmed COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
title_sort COMPUTATIONAL ASSISTANCE: newsbot development for financial organizations
author Marques, Alberto
author_facet Marques, Alberto
Barroso , Suélem S. P.
author_role author
author2 Barroso , Suélem S. P.
author2_role author
dc.contributor.author.fl_str_mv Marques, Alberto
Barroso , Suélem S. P.
dc.subject.por.fl_str_mv Strategic communication
Organizational strategy
Automated content;
Newsbot
Algorithms
communication
Strategic communication
Organizational strategy
Automated content;
Newsbot
Algorithms
topic Strategic communication
Organizational strategy
Automated content;
Newsbot
Algorithms
communication
Strategic communication
Organizational strategy
Automated content;
Newsbot
Algorithms
description This research aims to develop the Minimum Viable Product (MVP) of a cloud platform that transforms structured data into automated text, to enhance the production of content in Brazilian stock brokerage companies. It  is based on applied research that combines different techniques for the development of MVP. As a theoretical path to support product development, it permeates strategic communication in corporations, as well as the adoption of algorithms and content automation in journalistic production. Among the results achieved, the work presents the logic of infrastructure of macro operation for the newsbot and the main elements for the many layers of development that an application of this nature needs.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693
10.20873/uft.2447-4266.2021v7n3a9en
url https://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693
identifier_str_mv 10.20873/uft.2447-4266.2021v7n3a9en
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693/19661
https://sistemas.uft.edu.br/periodicos/index.php/observatorio/article/view/13693/19668
dc.rights.driver.fl_str_mv Copyright (c) 2021 Revista Observatório
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Revista Observatório
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Tocantins - UFT
publisher.none.fl_str_mv Universidade Federal do Tocantins - UFT
dc.source.none.fl_str_mv Observatory Journal; Vol. 7 No. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9en
Observatorio Magazine; Vol. 7 Núm. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9en
Observatoire Journal; Vol. 7 No. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9en
Revista Observatório ; v. 7 n. 3 (2021): Vol. 7 n. 3 (2021): Applied Research / Pesquisa Aplicada Jul-Set (2021); a9en
2447-4266
10.20873/uft.2447-4266.2021v7n3
reponame:Revista Observatório
instname:Universidade Federal do Tocantins (UFT)
instacron:UFT
instname_str Universidade Federal do Tocantins (UFT)
instacron_str UFT
institution UFT
reponame_str Revista Observatório
collection Revista Observatório
repository.name.fl_str_mv Revista Observatório - Universidade Federal do Tocantins (UFT)
repository.mail.fl_str_mv gilsonportouft@gmail.com||gilsonporto@uft.edu.br||
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