Sentiment Analysis to support book selection: a study applied to the Skoob platform.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5007/1518-2924.2022.e83588 http://hdl.handle.net/11449/230661 |
Resumo: | Objective: This paper aims to apply the sentiment analysis technique to reviews published on the Skoob platform in order to propose a new evaluation parameter to help users in their decision-making about whether or not to read a book. Methods: Exploratory research with a quantitative and qualitative approach, which used, to perform the sentiment analysis, the polarity detection technique, in order to automate the detection of the polarity degree of the opinions contained in the reviews, which can be positive, negative or neutral. A total of 45,114 reviews related to the 20 most read books among Skoob platform users were selected. Results: The obtained results show the potential of applying sentiment analysis to the book reviews as another tool to help the Skoob platform user in his decision making about which book to start reading or which books to put on his list of next reads. Conclusions: Book reviews are important inputs in a social network for readers, since they can influence the reading preferences of its users, as well as present the positive and negative characteristics of a given book. Applying Sentiment Analysis to the opinions contained in such reviews can provide indicators in an automated and fast way, making it possible to gauge users' behavior towards the books they have read, as well as being used as an alternative metric for book evaluation. |
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Sentiment Analysis to support book selection: a study applied to the Skoob platform.ANÁLISE DE SENTIMENTO COMO APOIO À SELEÇÃO DE LIVROS: UM ESTUDO APLICADO À PLATAFORMA SKOOBAlternative metricsPolarity detectionReaders' social networksSentiment analysisObjective: This paper aims to apply the sentiment analysis technique to reviews published on the Skoob platform in order to propose a new evaluation parameter to help users in their decision-making about whether or not to read a book. Methods: Exploratory research with a quantitative and qualitative approach, which used, to perform the sentiment analysis, the polarity detection technique, in order to automate the detection of the polarity degree of the opinions contained in the reviews, which can be positive, negative or neutral. A total of 45,114 reviews related to the 20 most read books among Skoob platform users were selected. Results: The obtained results show the potential of applying sentiment analysis to the book reviews as another tool to help the Skoob platform user in his decision making about which book to start reading or which books to put on his list of next reads. Conclusions: Book reviews are important inputs in a social network for readers, since they can influence the reading preferences of its users, as well as present the positive and negative characteristics of a given book. Applying Sentiment Analysis to the opinions contained in such reviews can provide indicators in an automated and fast way, making it possible to gauge users' behavior towards the books they have read, as well as being used as an alternative metric for book evaluation.Doutorando em Ciência da Informação Universidade Estadual Paulista Faculdade de Filosofia e CiênciasLivre-Docente em Ciência da Informação Universidade de São Paulo Faculdade de Filosofia, Ciências e LetrasDoutorando em Ciência da Informação Universidade Estadual Paulista Faculdade de Filosofia e CiênciasUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Pereira, Clayton Martins [UNESP]Marinho, Ronnie Shida [UNESP]Segundo, José Eduardo Santarem2022-04-29T08:41:25Z2022-04-29T08:41:25Z2022-01-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.5007/1518-2924.2022.e83588Encontros Bibli, v. 27.1518-2924http://hdl.handle.net/11449/23066110.5007/1518-2924.2022.e835882-s2.0-85127385369Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporEncontros Bibliinfo:eu-repo/semantics/openAccess2022-04-29T08:41:25Zoai:repositorio.unesp.br:11449/230661Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:17:51.869834Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. ANÁLISE DE SENTIMENTO COMO APOIO À SELEÇÃO DE LIVROS: UM ESTUDO APLICADO À PLATAFORMA SKOOB |
title |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. |
spellingShingle |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. Pereira, Clayton Martins [UNESP] Alternative metrics Polarity detection Readers' social networks Sentiment analysis |
title_short |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. |
title_full |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. |
title_fullStr |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. |
title_full_unstemmed |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. |
title_sort |
Sentiment Analysis to support book selection: a study applied to the Skoob platform. |
author |
Pereira, Clayton Martins [UNESP] |
author_facet |
Pereira, Clayton Martins [UNESP] Marinho, Ronnie Shida [UNESP] Segundo, José Eduardo Santarem |
author_role |
author |
author2 |
Marinho, Ronnie Shida [UNESP] Segundo, José Eduardo Santarem |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Pereira, Clayton Martins [UNESP] Marinho, Ronnie Shida [UNESP] Segundo, José Eduardo Santarem |
dc.subject.por.fl_str_mv |
Alternative metrics Polarity detection Readers' social networks Sentiment analysis |
topic |
Alternative metrics Polarity detection Readers' social networks Sentiment analysis |
description |
Objective: This paper aims to apply the sentiment analysis technique to reviews published on the Skoob platform in order to propose a new evaluation parameter to help users in their decision-making about whether or not to read a book. Methods: Exploratory research with a quantitative and qualitative approach, which used, to perform the sentiment analysis, the polarity detection technique, in order to automate the detection of the polarity degree of the opinions contained in the reviews, which can be positive, negative or neutral. A total of 45,114 reviews related to the 20 most read books among Skoob platform users were selected. Results: The obtained results show the potential of applying sentiment analysis to the book reviews as another tool to help the Skoob platform user in his decision making about which book to start reading or which books to put on his list of next reads. Conclusions: Book reviews are important inputs in a social network for readers, since they can influence the reading preferences of its users, as well as present the positive and negative characteristics of a given book. Applying Sentiment Analysis to the opinions contained in such reviews can provide indicators in an automated and fast way, making it possible to gauge users' behavior towards the books they have read, as well as being used as an alternative metric for book evaluation. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-29T08:41:25Z 2022-04-29T08:41:25Z 2022-01-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5007/1518-2924.2022.e83588 Encontros Bibli, v. 27. 1518-2924 http://hdl.handle.net/11449/230661 10.5007/1518-2924.2022.e83588 2-s2.0-85127385369 |
url |
http://dx.doi.org/10.5007/1518-2924.2022.e83588 http://hdl.handle.net/11449/230661 |
identifier_str_mv |
Encontros Bibli, v. 27. 1518-2924 10.5007/1518-2924.2022.e83588 2-s2.0-85127385369 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Encontros Bibli |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128787044368384 |