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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Format: | Article |
Language: | Portuguese |
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Universidade Federal de Minas Gerais, Escola de Ciência da Informação
2023-07-01
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Series: | Perspectivas em Ciência da Informação |
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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. |
first_indexed | 2024-03-12T22:01:37Z |
format | Article |
id | doaj.art-efde1502aec74464a006f35bc0fba3a6 |
institution | Directory Open Access Journal |
issn | 1981-5344 |
language | Portuguese |
last_indexed | 2024-03-12T22:01:37Z |
publishDate | 2023-07-01 |
publisher | Universidade Federal de Minas Gerais, Escola de Ciência da Informação |
record_format | Article |
series | Perspectivas em Ciência da Informação |
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 |