The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study

Detalhes bibliográficos
Autor(a) principal: Neto, Morino Xavier de Barros
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/62624
Resumo: Dissertation presented as partial requirement for obtaining the Master`s degree in Information Management, with specialization in Marketing Intelligence
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spelling The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization studyOnline ReviewsHelpfulnessRatingValenceReview TypeText ClusteringText CategorizationDissertation presented as partial requirement for obtaining the Master`s degree in Information Management, with specialization in Marketing IntelligenceConsumers trust on online reviews to help them making their purchasing decisions. Online reviews provide consumers with clues about the quality of the products that they want to buy. Consumers rely on clues, such as, review helpfulness votes and rating to infer product quality. In this study, we perform a Text Clustering and a Text Categorization analysis to uncover the review characteristics and to predict the review rating, helpfulness votes and the product price, based on review corpus. We use a dataset with 72 878 reviews of unlocked mobile phones sold on Amazon.com to perform this analysis. The main goal of this research is to understand the impact of review valence, rating and type on helpfulness votes on Amazon, for unlocked mobile phones. This research aims, also to understand the impact of price on customer satisfaction and the relationship between customer satisfaction and ratings. Our results suggest that positive reviews that emphasize the feature level quality of the products receive more helpful votes than the positive reviews that contain mainly subjective expressions or negative reviews. Another important finding of this research is on the influence of the price of the product. The phones with high price tend to receive more positive reviews and more helpful votes. These findings have important managerial and theoretical implications. To best of our knowledge, our study is the first one to analyze the effect of the combination of valence, rating and subjectivity of the review text on helpful votes.Pinto, Diego CostaRUNNeto, Morino Xavier de Barros2019-03-08T16:22:03Z2019-02-202019-02-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/62624TID:202186636enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:29:36Zoai:run.unl.pt:10362/62624Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:33:46.893411Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
title The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
spellingShingle The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
Neto, Morino Xavier de Barros
Online Reviews
Helpfulness
Rating
Valence
Review Type
Text Clustering
Text Categorization
title_short The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
title_full The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
title_fullStr The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
title_full_unstemmed The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
title_sort The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study
author Neto, Morino Xavier de Barros
author_facet Neto, Morino Xavier de Barros
author_role author
dc.contributor.none.fl_str_mv Pinto, Diego Costa
RUN
dc.contributor.author.fl_str_mv Neto, Morino Xavier de Barros
dc.subject.por.fl_str_mv Online Reviews
Helpfulness
Rating
Valence
Review Type
Text Clustering
Text Categorization
topic Online Reviews
Helpfulness
Rating
Valence
Review Type
Text Clustering
Text Categorization
description Dissertation presented as partial requirement for obtaining the Master`s degree in Information Management, with specialization in Marketing Intelligence
publishDate 2019
dc.date.none.fl_str_mv 2019-03-08T16:22:03Z
2019-02-20
2019-02-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/62624
TID:202186636
url http://hdl.handle.net/10362/62624
identifier_str_mv TID:202186636
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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