Concept discovery and argument bundles in the web of experiences

Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--07-06-2017--Excelente cum laude

Detalhes bibliográficos
Autor: Ferrer, Xavier
Tipo de documento: tese
Data de publicação:2017
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/197553
Acesso em linha:http://hdl.handle.net/10261/197553
Access Level:Acceso aberto
Palavra-chave:Experience web
Artificial intelligence
Sentiment analysis
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spelling Concept discovery and argument bundles in the web of experiencesFerrer, XavierExperience webArtificial intelligenceSentiment analysisTesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--07-06-2017--Excelente cum laudeMillions of people interact and share interesting information every day in the Social Web. From daily conversations to comments about products in e-commerce sites, the content generated by people in these sites is huge and diverse. Among the wide diversity of user-contributed content on the web, there is a particular kind that has the potential of being put to good use by intelligent systems: human experiences. People very often use other people's experiences before making decisions, and when these kind of human experiences are expressed and recorded on the web, they can be shared with by large number of people. Nevertheless sometimes this content is not easily accessible, so a person trying to book a hotel may read a few reviews over a few hotels - but cannot possibly read them all. There is a clear need for an in-depth analysis of this kind of information, based on textual expressions of human particular experiences. Our approach, in the framework of the Web of Experiences, aims at acquiring practical knowledge from individual experiences with entities in the real world expressed in textual form. Moreover, this knowledge has to be represented in a way that facilitates the reuse of the experiential knowledge by other individuals with different preferences. Our approach has three stages: First, we extract the most salient set of aspects used by the individuals to describe their experiences with the entities in a domain. Second, using the set of extracted aspects, we group them in concepts to create a concept vocabulary that models the set of issues addressed in the reviews. Third, using the vocabulary of concepts, we create a bundle of arguments for each entity. An argument bundle characterizes the pros and cons of an entity, aggregating practical knowledge from judgments written by individuals with different biases and preferences. Moreover, we show how argument bundles allow us to define the notions of user query and the satisfaction degree of a bundle by a user query, proving that argument bundles are not only capable of representing practical knowledge but they are also useful to perform inference given a set of user preferences specified in a query. We evaluate the argument bundles of our approach with the Amazon score ratings and the camera characterizations of Dpreview. We show that pro and con arguments are very close to those listed in Dpreview. Evaluating entity rankings, we show that Dpreview and our approach give congruent rankings, while Amazon¿s is not congruent neither with Dpreview's or ours.Peer reviewedUniversidad Autónoma de BarcelonaCSIC - Instituto de Investigación en Inteligencia Artificial (IIIA)Plaza, EnricConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202017info:eu-repo/semantics/doctoralThesishttp://purl.org/coar/resource_type/c_db06http://hdl.handle.net/10261/197553reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://hdl.handle.net/10803/405665Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1975532026-05-22T06:33:51Z
dc.title.none.fl_str_mv Concept discovery and argument bundles in the web of experiences
title Concept discovery and argument bundles in the web of experiences
spellingShingle Concept discovery and argument bundles in the web of experiences
Ferrer, Xavier
Experience web
Artificial intelligence
Sentiment analysis
title_short Concept discovery and argument bundles in the web of experiences
title_full Concept discovery and argument bundles in the web of experiences
title_fullStr Concept discovery and argument bundles in the web of experiences
title_full_unstemmed Concept discovery and argument bundles in the web of experiences
title_sort Concept discovery and argument bundles in the web of experiences
dc.creator.none.fl_str_mv Ferrer, Xavier
author Ferrer, Xavier
author_facet Ferrer, Xavier
author_role author
dc.contributor.none.fl_str_mv Plaza, Enric
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Experience web
Artificial intelligence
Sentiment analysis
topic Experience web
Artificial intelligence
Sentiment analysis
description Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--07-06-2017--Excelente cum laude
publishDate 2017
dc.date.none.fl_str_mv 2017
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
http://purl.org/coar/resource_type/c_db06
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/197553
url http://hdl.handle.net/10261/197553
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://hdl.handle.net/10803/405665
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidad Autónoma de Barcelona
CSIC - Instituto de Investigación en Inteligencia Artificial (IIIA)
publisher.none.fl_str_mv Universidad Autónoma de Barcelona
CSIC - Instituto de Investigación en Inteligencia Artificial (IIIA)
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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score 15,81155

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