A Framework to Develop Intelligent Agents to Support Sentiment Analysis

Bibliographic Details
Main Author: Luxen, Jose
Publication Date: 2017
Other Authors: Macedo, Mario, Billonet, Laurent
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10884/1362
Summary: https://journals.ukzn.ac.za/index.php/JISfTeH/article/view/308
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling A Framework to Develop Intelligent Agents to Support Sentiment AnalysisElderlyOntologyNetworkLonelinesshttps://journals.ukzn.ac.za/index.php/JISfTeH/article/view/308Many people including elderly people now live alone with a high tendency toward depression diseases including loneliness. Most of the times social networks are their unique way of expressing their sentiments and speaking freely about their feelings and intentions. However their posts are mostly seen by non-specialists and important information is lost or the adequate reaction is not provided. The aim of this paper is to propose a framework for developing intelligent agents that will be trained to crawl the social networks, to analyse sentiments according with posted expressions which will be classified according with an ontology of emoticons and send alerts to a specialist who will provide the adequate psychologic and social support. These intelligent agents can work like a team, developing collaboration work and developing skills and competences similar to Darwin’s theory of biological evolution. The expressions’ classification will be a priori annotated by a panel of experts and these annotation will be used to train the intelligent agents. The system will also use an ontology not only to reason the concepts but also to find new association of terms and expressions that will be presented to the experts to get their classifications. The final outcomes will be an evolutive eco system of intelligent agents capable of gathering knowledge and using their competences to analyse sentiments according to an ontology of emotions The proposed framework is based on a literature review, technological state of the art and includes the global architecture, technology and implementation training to get a fully functional system. Some foundation concepts, methods and technologies will be reused in this framework including emotion ontology, and ontology editor Protégé, a text mining information extractor and classifier and a platform to develop intelligent agents, JADE.Jornal of International Society For Telemedicine and eHealth2018-09-07T12:01:47Z2018-09-072017-04-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10884/1362http://hdl.handle.net/10884/1362eng• Luxen, José Luxen & Macedo, Mario & Billonnet, Laurent (2017) A Framework to Develop Intelligent Agents to Support Sentiment Analysis. Proceedings of Med@Tel 2017, LuxembourgLuxen, JoseMacedo, MarioBillonet, Laurentinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-15T17:44:17Zoai:repositorio-cientifico.uatlantica.pt:10884/1362Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:27:40.633343Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A Framework to Develop Intelligent Agents to Support Sentiment Analysis
title A Framework to Develop Intelligent Agents to Support Sentiment Analysis
spellingShingle A Framework to Develop Intelligent Agents to Support Sentiment Analysis
Luxen, Jose
Elderly
Ontology
Network
Loneliness
title_short A Framework to Develop Intelligent Agents to Support Sentiment Analysis
title_full A Framework to Develop Intelligent Agents to Support Sentiment Analysis
title_fullStr A Framework to Develop Intelligent Agents to Support Sentiment Analysis
title_full_unstemmed A Framework to Develop Intelligent Agents to Support Sentiment Analysis
title_sort A Framework to Develop Intelligent Agents to Support Sentiment Analysis
author Luxen, Jose
author_facet Luxen, Jose
Macedo, Mario
Billonet, Laurent
author_role author
author2 Macedo, Mario
Billonet, Laurent
author2_role author
author
dc.contributor.author.fl_str_mv Luxen, Jose
Macedo, Mario
Billonet, Laurent
dc.subject.por.fl_str_mv Elderly
Ontology
Network
Loneliness
topic Elderly
Ontology
Network
Loneliness
description https://journals.ukzn.ac.za/index.php/JISfTeH/article/view/308
publishDate 2017
dc.date.none.fl_str_mv 2017-04-02T00:00:00Z
2018-09-07T12:01:47Z
2018-09-07
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://hdl.handle.net/10884/1362
http://hdl.handle.net/10884/1362
url http://hdl.handle.net/10884/1362
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv • Luxen, José Luxen & Macedo, Mario & Billonnet, Laurent (2017) A Framework to Develop Intelligent Agents to Support Sentiment Analysis. Proceedings of Med@Tel 2017, Luxembourg
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Jornal of International Society For Telemedicine and eHealth
publisher.none.fl_str_mv Jornal of International Society For Telemedicine and eHealth
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602988105531392

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