The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion

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Twitter data related to poverty and basic income was collected for 24 days in 2019, and then was cleaned and prepared for natural language processing. A 7 % subset of the data was manually labeled for sentiment analysis in order to inform the artificial intelligence (AI), which was trained and verif...

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Detalles Bibliográficos
Autores: Del Pino, Miguel A., Bodaghi, Arezo, Watine, Pierre, Schmitt, Ketra
Formato: objeto de conferencia
Fecha de Publicación:2021
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/13899
Enlace del recurso:https://hdl.handle.net/20.500.12724/13899
Nivel de acceso:acceso abierto
Materia:Proceso en lenguaje natural (informática)
Twitter
Opinión pública
Natural language processing (Computer science)
Public opinion
Ingeniería de sistemas / Diseño y métodos
https://purl.org/pe-repo/ocde/ford#2.02.04
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dc.title.es_PE.fl_str_mv The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
dc.title.alternative.es_PE.fl_str_mv La importancia de la pobreza en las políticas de sostenibilidad: un enfoque para comprender la online opinion
title The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
spellingShingle The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
Del Pino, Miguel A.
Proceso en lenguaje natural (informática)
Twitter
Opinión pública
Natural language processing (Computer science)
Public opinion
Ingeniería de sistemas / Diseño y métodos
https://purl.org/pe-repo/ocde/ford#2.02.04
title_short The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
title_full The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
title_fullStr The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
title_full_unstemmed The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
title_sort The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion
author Del Pino, Miguel A.
author_facet Del Pino, Miguel A.
Bodaghi, Arezo
Watine, Pierre
Schmitt, Ketra
author_role author
author2 Bodaghi, Arezo
Watine, Pierre
Schmitt, Ketra
author2_role author
author
author
dc.contributor.author.fl_str_mv Del Pino, Miguel A.
Bodaghi, Arezo
Watine, Pierre
Schmitt, Ketra
dc.subject.es_PE.fl_str_mv Proceso en lenguaje natural (informática)
Twitter
Opinión pública
Natural language processing (Computer science)
Public opinion
topic Proceso en lenguaje natural (informática)
Twitter
Opinión pública
Natural language processing (Computer science)
Public opinion
Ingeniería de sistemas / Diseño y métodos
https://purl.org/pe-repo/ocde/ford#2.02.04
dc.subject.classification.es_PE.fl_str_mv Ingeniería de sistemas / Diseño y métodos
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.04
description Twitter data related to poverty and basic income was collected for 24 days in 2019, and then was cleaned and prepared for natural language processing. A 7 % subset of the data was manually labeled for sentiment analysis in order to inform the artificial intelligence (AI), which was trained and verified on this subset. We present the results for both the 7 % verification sample and the entire database. This analysis of public opinion on poverty is situated within the Sustainable Development Goals and the support for poverty reduction policies.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-08-20T16:16:29Z
dc.date.available.none.fl_str_mv 2021-08-20T16:16:29Z
dc.date.issued.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.other.es_PE.fl_str_mv Artículo de conferencia
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dc.identifier.citation.es_PE.fl_str_mv Del-Pino, M. A., Bodaghi, A., Watine, P. & Schmitt, K. (2021). The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion. En Universidad de Lima (Ed.), Construyendo un mundo inteligente para la sostenibilidad. Actas del III Congreso Internacional de Ingeniería de Sistemas (pp. 183-194), Lima, 17 y 20 de noviembre del 2020. Universidad de Lima, Fondo Editorial.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/13899
identifier_str_mv Del-Pino, M. A., Bodaghi, A., Watine, P. & Schmitt, K. (2021). The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion. En Universidad de Lima (Ed.), Construyendo un mundo inteligente para la sostenibilidad. Actas del III Congreso Internacional de Ingeniería de Sistemas (pp. 183-194), Lima, 17 y 20 de noviembre del 2020. Universidad de Lima, Fondo Editorial.
url https://hdl.handle.net/20.500.12724/13899
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Universidad de Lima
dc.publisher.country.es_PE.fl_str_mv PE
dc.source.es_PE.fl_str_mv Repositorio Institucional - Ulima
Universidad de Lima
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instname_str Universidad de Lima
instacron_str ULIMA
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spelling Del Pino, Miguel A.Bodaghi, ArezoWatine, PierreSchmitt, Ketra2021-08-20T16:16:29Z2021-08-20T16:16:29Z2021Del-Pino, M. A., Bodaghi, A., Watine, P. & Schmitt, K. (2021). The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion. En Universidad de Lima (Ed.), Construyendo un mundo inteligente para la sostenibilidad. Actas del III Congreso Internacional de Ingeniería de Sistemas (pp. 183-194), Lima, 17 y 20 de noviembre del 2020. Universidad de Lima, Fondo Editorial.https://hdl.handle.net/20.500.12724/13899Twitter data related to poverty and basic income was collected for 24 days in 2019, and then was cleaned and prepared for natural language processing. A 7 % subset of the data was manually labeled for sentiment analysis in order to inform the artificial intelligence (AI), which was trained and verified on this subset. We present the results for both the 7 % verification sample and the entire database. This analysis of public opinion on poverty is situated within the Sustainable Development Goals and the support for poverty reduction policies.Los datos de Twitter relacionados con la pobreza y los ingresos básicos se reco pilaron durante 24 días en el 2019, se limpiaron y se prepararon para el procesamiento del lenguaje natural (natural language processing). Un subconjunto del 7 % de los datos se etiquetó manualmente para el análisis de sentimientos con el fin de informar a la inteligencia artificial (IA). La IA fue entrenada y verificada en este subconjunto. Presentamos los resultados tanto de la muestra del 7 % como de toda la base de datos. 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