Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis
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 tourist...
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Autores principales: | , |
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Formato: | Objeto de conferencia Resumen |
Lenguaje: | Inglés |
Publicado: |
2018
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/72096 |
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I19-R120-10915-72096 |
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dspace |
institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas Perú sentiment analysis text mining correspondence analysis tourism |
spellingShingle |
Ciencias Informáticas Perú sentiment analysis text mining correspondence analysis tourism Cajachahua, Luis Burga, Indira Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis |
topic_facet |
Ciencias Informáticas Perú sentiment analysis text mining correspondence analysis tourism |
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. |
format |
Objeto de conferencia Resumen |
author |
Cajachahua, Luis Burga, Indira |
author_facet |
Cajachahua, Luis Burga, Indira |
author_sort |
Cajachahua, Luis |
title |
Sentiments and Opinions From Twitter About Peruvian Touristic Places Using Correspondence Analysis |
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 |
publishDate |
2018 |
url |
http://sedici.unlp.edu.ar/handle/10915/72096 |
work_keys_str_mv |
AT cajachahualuis sentimentsandopinionsfromtwitteraboutperuviantouristicplacesusingcorrespondenceanalysis AT burgaindira sentimentsandopinionsfromtwitteraboutperuviantouristicplacesusingcorrespondenceanalysis |
bdutipo_str |
Repositorios |
_version_ |
1764820483338928129 |