Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis

Autores
Cajachahua, Luis; Burga, Indira
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Tourism in Perú has become very important, since there is a growing number of tourists arriving each year. This paper focus in understand what do English-speaking tourists consider when they visit Perú. We obtained all the tweets written in english during the year 2016, filtered by a list of touristic places visited. In total, more than 192 thousand tweets were collected. We performed different analysis to describe the data, including correspondence analysis, a statistical technique which is normally applied to categorical data. The goal was to understand the sentiments and opinions expressed in those tweets.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Perú
sentiment analysis
text mining
correspondence analysis
twitter
tourism
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/72096
Acceder
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network_name_str SEDICI (UNLP)
spelling Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence AnalysisCajachahua, LuisBurga, IndiraCiencias InformáticasPerúsentiment analysistext miningcorrespondence analysistwittertourismTourism in Perú has become very important, since there is a growing number of tourists arriving each year. This paper focus in understand what do English-speaking tourists consider when they visit Perú. We obtained all the tweets written in english during the year 2016, filtered by a list of touristic places visited. In total, more than 192 thousand tweets were collected. We performed different analysis to describe the data, including correspondence analysis, a statistical technique which is normally applied to categorical data. The goal was to understand the sentiments and opinions expressed in those tweets.Sociedad Argentina de Informática e Investigación Operativa2018-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf9-10http://sedici.unlp.edu.ar/handle/10915/72096enginfo:eu-repo/semantics/altIdentifier/issn/2618-3196info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:43:49Zoai:sedici.unlp.edu.ar:10915/72096Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:43:49.744SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
title Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
spellingShingle Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
Cajachahua, Luis
Ciencias Informáticas
Perú
sentiment analysis
text mining
correspondence analysis
twitter
tourism
title_short Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
title_full Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
title_fullStr Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
title_full_unstemmed Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
title_sort Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
dc.creator.none.fl_str_mv Cajachahua, Luis
Burga, Indira
author Cajachahua, Luis
author_facet Cajachahua, Luis
Burga, Indira
author_role author
author2 Burga, Indira
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Perú
sentiment analysis
text mining
correspondence analysis
twitter
tourism
topic Ciencias Informáticas
Perú
sentiment analysis
text mining
correspondence analysis
twitter
tourism
dc.description.none.fl_txt_mv Tourism in Perú has become very important, since there is a growing number of tourists arriving each year. This paper focus in understand what do English-speaking tourists consider when they visit Perú. We obtained all the tweets written in english during the year 2016, filtered by a list of touristic places visited. In total, more than 192 thousand tweets were collected. We performed different analysis to describe the data, including correspondence analysis, a statistical technique which is normally applied to categorical data. The goal was to understand the sentiments and opinions expressed in those tweets.
Sociedad Argentina de Informática e Investigación Operativa
description Tourism in Perú has become very important, since there is a growing number of tourists arriving each year. This paper focus in understand what do English-speaking tourists consider when they visit Perú. We obtained all the tweets written in english during the year 2016, filtered by a list of touristic places visited. In total, more than 192 thousand tweets were collected. We performed different analysis to describe the data, including correspondence analysis, a statistical technique which is normally applied to categorical data. The goal was to understand the sentiments and opinions expressed in those tweets.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/72096
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2618-3196
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
dc.format.none.fl_str_mv application/pdf
9-10
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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