Identification of online reviews helpfulness using Neural Networks

[EN] During the last decade, research has shown that identifying helpful reviews from a big amount of user-generated review data has been a trending topic. This study proposes a classification system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can early identify...

Descripción completa

Detalles Bibliográficos
Autores: Olmedilla, María, Martínez Torres, Mª del Rocío, Toral, Sergio L.
Tipo de recurso: capítulo de libro
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/148759
Acceso en línea:https://riunet.upv.es/handle/10251/148759
Access Level:acceso abierto
Palabra clave:Web data
Internet data
Big data
Qca
Pls
Sem
Conference
Helpfulness
Online reviews
Convolutional Neural Networks
Predictions
Classification
id ES_b8d9480897a53846252fde7d7b0ec313
oai_identifier_str oai:riunet.upv.es:10251/148759
network_acronym_str ES
network_name_str España
repository_id_str
spelling Identification of online reviews helpfulness using Neural NetworksOlmedilla, MaríaMartínez Torres, Mª del RocíoToral, Sergio L.Web dataInternet dataBig dataQcaPlsSemConferenceHelpfulnessOnline reviewsConvolutional Neural NetworksPredictionsClassification[EN] During the last decade, research has shown that identifying helpful reviews from a big amount of user-generated review data has been a trending topic. This study proposes a classification system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can early identify whether an online review is helpful, fair or not helpful with 80% of accuracy. After using the neuronal encoding, a cluster analysis of the helpful and not helpful was made. The results reveal that the most significant words and documents for helpful reviews clusters describe cars and their characteristics. Whereas not helpful reviews clusters express details on car-related shops/companies in general.Editorial Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-07-10book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/148759reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1487592026-06-13T07:49:27Z
dc.title.none.fl_str_mv Identification of online reviews helpfulness using Neural Networks
title Identification of online reviews helpfulness using Neural Networks
spellingShingle Identification of online reviews helpfulness using Neural Networks
Olmedilla, María
Web data
Internet data
Big data
Qca
Pls
Sem
Conference
Helpfulness
Online reviews
Convolutional Neural Networks
Predictions
Classification
title_short Identification of online reviews helpfulness using Neural Networks
title_full Identification of online reviews helpfulness using Neural Networks
title_fullStr Identification of online reviews helpfulness using Neural Networks
title_full_unstemmed Identification of online reviews helpfulness using Neural Networks
title_sort Identification of online reviews helpfulness using Neural Networks
dc.creator.none.fl_str_mv Olmedilla, María
Martínez Torres, Mª del Rocío
Toral, Sergio L.
author Olmedilla, María
author_facet Olmedilla, María
Martínez Torres, Mª del Rocío
Toral, Sergio L.
author_role author
author2 Martínez Torres, Mª del Rocío
Toral, Sergio L.
author2_role author
author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Web data
Internet data
Big data
Qca
Pls
Sem
Conference
Helpfulness
Online reviews
Convolutional Neural Networks
Predictions
Classification
topic Web data
Internet data
Big data
Qca
Pls
Sem
Conference
Helpfulness
Online reviews
Convolutional Neural Networks
Predictions
Classification
description [EN] During the last decade, research has shown that identifying helpful reviews from a big amount of user-generated review data has been a trending topic. This study proposes a classification system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can early identify whether an online review is helpful, fair or not helpful with 80% of accuracy. After using the neuronal encoding, a cluster analysis of the helpful and not helpful was made. The results reveal that the most significant words and documents for helpful reviews clusters describe cars and their characteristics. Whereas not helpful reviews clusters express details on car-related shops/companies in general.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-07-10
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/148759
url https://riunet.upv.es/handle/10251/148759
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869417684412661761
score 15.198674

Similares en LA Referencia