NLP text classification in tweets related to natural disasters

Descripción del Articulo

Currently there is a large amount of information circulating through social networks, this does not always tend to be true and in the case of natural disasters its falsity could have quite consequences such as mass hysteria in the population. To avoid this, an efficient analysis was proposed to chec...

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Detalles Bibliográficos
Autores: Quenta Nina, Patrik Renee, Quispe Cahuana, Frank Berly
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad La Salle
Repositorio:Revistas - Universidad La Salle
Lenguaje:español
OAI Identifier:oai:ojs.revistas.ulasalle.edu.pe:article/88
Enlace del recurso:https://revistas.ulasalle.edu.pe/innosoft/article/view/88
https://doi.org/10.48168/innosoft.s11.a88
https://purl.org/42411/s11/a88
https://n2t.net/ark:/42411/s11/a88
Nivel de acceso:acceso abierto
Materia:Feelings
natural disasters
NLP
Twitter
Desastres naturales
sentimientos
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spelling NLP text classification in tweets related to natural disastersClasificación de texto con NLP en tweets relacionados con desastres naturalesQuenta Nina, Patrik ReneeQuispe Cahuana, Frank BerlyFeelingsnatural disastersNLPTwitterDesastres naturalesNLPsentimientosTwitterCurrently there is a large amount of information circulating through social networks, this does not always tend to be true and in the case of natural disasters its falsity could have quite consequences such as mass hysteria in the population. To avoid this, an efficient analysis was proposed to check tweets with false information using natural language processing algorithms.Actualmente existe una gran cantidad de información circula a través de las redes sociales, esta no siempre tiende a ser verídica y tratándose de desastres naturales su falsedad podría llegar a tener bastante consecuencias como histeria colectiva en la población. Para evitar esto se propuso un análisis eficiente para la comprobación de tweets con información falsa utilizando algoritmos de procesamiento de lenguaje natural.Universidad La Salle2023-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionJournal papertextArtículos originalesapplication/pdftext/htmlhttps://revistas.ulasalle.edu.pe/innosoft/article/view/88https://doi.org/10.48168/innosoft.s11.a88https://purl.org/42411/s11/a88https://n2t.net/ark:/42411/s11/a88Innovation and Software; Vol 4 No 1 (2023): March - August; 198-203Innovación y Software; Vol. 4 Núm. 1 (2023): Marzo - Agosto; 198-2032708-09352708-0927https://doi.org/10.48168/innosoft.s11https://purl.org/42411/s11https://n2t.net/ark:/42411/s11reponame:Revistas - Universidad La Salleinstname:Universidad La Salleinstacron:USALLEspahttps://revistas.ulasalle.edu.pe/innosoft/article/view/88/113https://revistas.ulasalle.edu.pe/innosoft/article/view/88/114https://purl.org/42411/s11/a88/g113https://purl.org/42411/s11/a88/g114https://n2t.net/ark:/42411/s11/a88/g113https://n2t.net/ark:/42411/s11/a88/g11420232023Derechos de autor 2023 Innovación y Softwarehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.revistas.ulasalle.edu.pe:article/882025-07-03T08:02:11Z
dc.title.none.fl_str_mv NLP text classification in tweets related to natural disasters
Clasificación de texto con NLP en tweets relacionados con desastres naturales
title NLP text classification in tweets related to natural disasters
spellingShingle NLP text classification in tweets related to natural disasters
Quenta Nina, Patrik Renee
Feelings
natural disasters
NLP
Twitter
Desastres naturales
NLP
sentimientos
Twitter
title_short NLP text classification in tweets related to natural disasters
title_full NLP text classification in tweets related to natural disasters
title_fullStr NLP text classification in tweets related to natural disasters
title_full_unstemmed NLP text classification in tweets related to natural disasters
title_sort NLP text classification in tweets related to natural disasters
dc.creator.none.fl_str_mv Quenta Nina, Patrik Renee
Quispe Cahuana, Frank Berly
author Quenta Nina, Patrik Renee
author_facet Quenta Nina, Patrik Renee
Quispe Cahuana, Frank Berly
author_role author
author2 Quispe Cahuana, Frank Berly
author2_role author
dc.subject.none.fl_str_mv Feelings
natural disasters
NLP
Twitter
Desastres naturales
NLP
sentimientos
Twitter
topic Feelings
natural disasters
NLP
Twitter
Desastres naturales
NLP
sentimientos
Twitter
description Currently there is a large amount of information circulating through social networks, this does not always tend to be true and in the case of natural disasters its falsity could have quite consequences such as mass hysteria in the population. To avoid this, an efficient analysis was proposed to check tweets with false information using natural language processing algorithms.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Journal paper
text
Artículos originales
format article
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dc.identifier.none.fl_str_mv https://revistas.ulasalle.edu.pe/innosoft/article/view/88
https://doi.org/10.48168/innosoft.s11.a88
https://purl.org/42411/s11/a88
https://n2t.net/ark:/42411/s11/a88
url https://revistas.ulasalle.edu.pe/innosoft/article/view/88
https://doi.org/10.48168/innosoft.s11.a88
https://purl.org/42411/s11/a88
https://n2t.net/ark:/42411/s11/a88
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ulasalle.edu.pe/innosoft/article/view/88/113
https://revistas.ulasalle.edu.pe/innosoft/article/view/88/114
https://purl.org/42411/s11/a88/g113
https://purl.org/42411/s11/a88/g114
https://n2t.net/ark:/42411/s11/a88/g113
https://n2t.net/ark:/42411/s11/a88/g114
dc.rights.none.fl_str_mv Derechos de autor 2023 Innovación y Software
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2023 Innovación y Software
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.coverage.none.fl_str_mv 2023
2023
dc.publisher.none.fl_str_mv Universidad La Salle
publisher.none.fl_str_mv Universidad La Salle
dc.source.none.fl_str_mv Innovation and Software; Vol 4 No 1 (2023): March - August; 198-203
Innovación y Software; Vol. 4 Núm. 1 (2023): Marzo - Agosto; 198-203
2708-0935
2708-0927
https://doi.org/10.48168/innosoft.s11
https://purl.org/42411/s11
https://n2t.net/ark:/42411/s11
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