ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING

ABSTRACT This paper aims to analyze the activity of two Brazilian tourism agencies in social media and the online behavior of their consumers. The research used Natural language processing resources supported by sentiment and content analysis techniques. The main results show a prevalence of positiv...

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Main Authors: Danillo Magno Duarte Guedes, Marlusa de Sevilha Gosling
Format: Article
Language:Portuguese
Published: Universidade Federal de Minas Gerais, Escola de Ciência da Informação 2023-07-01
Series:Perspectivas em Ciência da Informação
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-99362023000100204&lng=en&tlng=en
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author Danillo Magno Duarte Guedes
Marlusa de Sevilha Gosling
author_facet Danillo Magno Duarte Guedes
Marlusa de Sevilha Gosling
author_sort Danillo Magno Duarte Guedes
collection DOAJ
description ABSTRACT This paper aims to analyze the activity of two Brazilian tourism agencies in social media and the online behavior of their consumers. The research used Natural language processing resources supported by sentiment and content analysis techniques. The main results show a prevalence of positive comments on the companies' pages, and companies are more responsive to users on pages with a higher number of positive comments. There is also a tendency towards more significant company interaction with user comments that express positive emotions.
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publisher Universidade Federal de Minas Gerais, Escola de Ciência da Informação
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spelling doaj.art-efde1502aec74464a006f35bc0fba3a62023-07-25T07:47:43ZporUniversidade Federal de Minas Gerais, Escola de Ciência da InformaçãoPerspectivas em Ciência da Informação1981-53442023-07-012810.1590/1981-5344/25280ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSINGDanillo Magno Duarte Guedeshttps://orcid.org/0009-0006-9091-3824Marlusa de Sevilha Goslinghttps://orcid.org/0000-0002-7674-2866ABSTRACT This paper aims to analyze the activity of two Brazilian tourism agencies in social media and the online behavior of their consumers. The research used Natural language processing resources supported by sentiment and content analysis techniques. The main results show a prevalence of positive comments on the companies' pages, and companies are more responsive to users on pages with a higher number of positive comments. There is also a tendency towards more significant company interaction with user comments that express positive emotions.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-99362023000100204&lng=en&tlng=enContent marketingSocial mediaUser-generated contentNatural language processingSentiment analysis
spellingShingle Danillo Magno Duarte Guedes
Marlusa de Sevilha Gosling
ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING
Perspectivas em Ciência da Informação
Content marketing
Social media
User-generated content
Natural language processing
Sentiment analysis
title ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING
title_full ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING
title_fullStr ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING
title_full_unstemmed ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING
title_short ACTIVITY OF BRAZILIAN TOURISM AGENCIES IN SOCIAL MEDIA: AN ANALYSIS USING NATURAL LANGUAGE PROCESSING
title_sort activity of brazilian tourism agencies in social media an analysis using natural language processing
topic Content marketing
Social media
User-generated content
Natural language processing
Sentiment analysis
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-99362023000100204&lng=en&tlng=en
work_keys_str_mv AT danillomagnoduarteguedes activityofbraziliantourismagenciesinsocialmediaananalysisusingnaturallanguageprocessing
AT marlusadesevilhagosling activityofbraziliantourismagenciesinsocialmediaananalysisusingnaturallanguageprocessing