Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?

Activation of tourism is one of the key subjects for the airline industry. Internet contains a lot of information about tourists. This paper aims at analyzing the opinion of the tourists who traveled by certain South America airlines, using the sentiment analysis technique, employed in the study of...

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Autor principal: Von Matuschka, Cristian
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto de Investigaciones en Turismo e Identidad. Facultad de Filosofía y Letras – Universidad Nacional de Cuyo 2021
Materias:
aprendizaje automático
turismo 2020
análisis de sentimientos
industria aeronáutica
machine learning
tourism 2020
sentiment analysis
airline industry
twitter
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/turismoeindentidad/article/view/4991
Aporte de:
Revista de Turismo e Identidad de Universidad Nacional de Cuyo
id I11-R84article-4991
record_format ojs
institution Universidad Nacional de Cuyo
institution_str I-11
repository_str R-84
container_title_str Revista de Turismo e Identidad
language Español
format Artículo revista
topic aprendizaje automático
turismo 2020
análisis de sentimientos
industria aeronáutica
machine learning
tourism 2020
sentiment analysis
airline industry
twitter
spellingShingle aprendizaje automático
turismo 2020
análisis de sentimientos
industria aeronáutica
machine learning
tourism 2020
sentiment analysis
airline industry
twitter
Von Matuschka, Cristian
Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?
topic_facet aprendizaje automático
turismo 2020
análisis de sentimientos
industria aeronáutica
machine learning
tourism 2020
sentiment analysis
airline industry
twitter
author Von Matuschka, Cristian
author_facet Von Matuschka, Cristian
author_sort Von Matuschka, Cristian
title Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?
title_short Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?
title_full Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?
title_fullStr Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?
title_full_unstemmed Sentiment analysis using the social network Twitter What did tourists feel flying in 2020 with selected southamerican airlines?
title_sort sentiment analysis using the social network twitter what did tourists feel flying in 2020 with selected southamerican airlines?
description Activation of tourism is one of the key subjects for the airline industry. Internet contains a lot of information about tourists. This paper aims at analyzing the opinion of the tourists who traveled by certain South America airlines, using the sentiment analysis technique, employed in the study of their messages. The resource used for analysis is the information in twitter, provided by these airlines customers. First, a method for extracting published phrases related to target locations and "hashtags" was presented. Then, it was analyzed the polarity of the tweets extracted; creating positive, negative and eventually neutral opinions. In this process, there was utilized an unsupervised learning technique using seed words. The experimental result on the classification shows the efficacy of the applied method. Preliminary (descriptive) results as well as the basic proposal for a predictive model are herein attached.
publisher Instituto de Investigaciones en Turismo e Identidad. Facultad de Filosofía y Letras – Universidad Nacional de Cuyo
publishDate 2021
url https://revistas.uncu.edu.ar/ojs3/index.php/turismoeindentidad/article/view/4991
work_keys_str_mv AT vonmatuschkacristian sentimentanalysisusingthesocialnetworktwitterwhatdidtouristsfeelflyingin2020withselectedsouthamericanairlines
AT vonmatuschkacristian analisisdesentimientosusandolaredsocialtwitterquesintieronlosturistasquevolaronen2020conseleccionadasaerolineassudamericanas
first_indexed 2022-06-20T13:55:07Z
last_indexed 2022-06-20T13:55:07Z
bdutipo_str Revistas
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