Concept Discovery and Argument Bundles in the Experience Web

In this paper we focus on a particular interesting web user-generated content: people¿s experiences. We extend our previous work on aspect extraction and sentiment analysis and propose a novel approach to create a vocabulary of basic level concepts with the appropriate granularity to characterize a...

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Detalles Bibliográficos
Autores: Ferrer, Xavier, Plaza, Enric
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2016
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/155823
Acceso en línea:http://hdl.handle.net/10261/155823
Access Level:acceso abierto
Palabra clave:Sentiment analysis
Experience web
Basic level concepts
Aspect extraction
Arguments
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spelling Concept Discovery and Argument Bundles in the Experience WebFerrer, XavierPlaza, EnricSentiment analysisExperience webBasic level conceptsAspect extractionArgumentsIn this paper we focus on a particular interesting web user-generated content: people¿s experiences. We extend our previous work on aspect extraction and sentiment analysis and propose a novel approach to create a vocabulary of basic level concepts with the appropriate granularity to characterize a set of products. This concept vocabulary is created by analyzing the usage of the aspects over a set of reviews, and allows us to find those features with a clear positive and negative polarity to create the bundles of arguments. The argument bundles allow us to define a concept-wise satisfaction degree of a user query over a set of bundles using the notion of fuzzy implication, allowing the reuse experiences of other people to the needs a specific user. © Springer International Publishing AG 2016.This research has been partially supported by NASAID (CSIC Intramural 201550E022).Peer ReviewedSpringer NatureConsejo Superior de Investigaciones Científicas (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2017201720162017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/155823reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1558232026-05-22T06:33:51Z
dc.title.none.fl_str_mv Concept Discovery and Argument Bundles in the Experience Web
title Concept Discovery and Argument Bundles in the Experience Web
spellingShingle Concept Discovery and Argument Bundles in the Experience Web
Ferrer, Xavier
Sentiment analysis
Experience web
Basic level concepts
Aspect extraction
Arguments
title_short Concept Discovery and Argument Bundles in the Experience Web
title_full Concept Discovery and Argument Bundles in the Experience Web
title_fullStr Concept Discovery and Argument Bundles in the Experience Web
title_full_unstemmed Concept Discovery and Argument Bundles in the Experience Web
title_sort Concept Discovery and Argument Bundles in the Experience Web
dc.creator.none.fl_str_mv Ferrer, Xavier
Plaza, Enric
author Ferrer, Xavier
author_facet Ferrer, Xavier
Plaza, Enric
author_role author
author2 Plaza, Enric
author2_role author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Sentiment analysis
Experience web
Basic level concepts
Aspect extraction
Arguments
topic Sentiment analysis
Experience web
Basic level concepts
Aspect extraction
Arguments
description In this paper we focus on a particular interesting web user-generated content: people¿s experiences. We extend our previous work on aspect extraction and sentiment analysis and propose a novel approach to create a vocabulary of basic level concepts with the appropriate granularity to characterize a set of products. This concept vocabulary is created by analyzing the usage of the aspects over a set of reviews, and allows us to find those features with a clear positive and negative polarity to create the bundles of arguments. The argument bundles allow us to define a concept-wise satisfaction degree of a user query over a set of bundles using the notion of fuzzy implication, allowing the reuse experiences of other people to the needs a specific user. © Springer International Publishing AG 2016.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/155823
url http://hdl.handle.net/10261/155823
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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