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
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/72096
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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:UNLP2025-11-05T12:51:13Zoai: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:13292025-11-05 12:51:14.166SEDICI (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 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 |
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author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Perú sentiment analysis text mining correspondence analysis tourism |
| topic |
Ciencias Informáticas Perú sentiment analysis text mining correspondence analysis 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. |
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2018 |
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