A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data

Bibliographic Details
Main Author: Jardim, Sandra
Publication Date: 2021
Other Authors: Mora, Carlos, Santana, Tiago
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.26/37667
Summary: Sentiment analysis, also known as opinion mining, has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications. In this paper, is described an unsupervised automatic method of multilingual lexicon-based sentiment analysis algorithm, with a dictionary- based approach. The developed algorithm was tested in the sentiment analysis of users' publications on a digital tourism platform. The results obtained demonstrate the efficiency of the solution, which presents a high accuracy in the classification of publications in four different languages.
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spelling A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Datasentiment analysisautomatic sentiment classificationlexicon-based approachsocial mediaSentiment analysis, also known as opinion mining, has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications. In this paper, is described an unsupervised automatic method of multilingual lexicon-based sentiment analysis algorithm, with a dictionary- based approach. The developed algorithm was tested in the sentiment analysis of users' publications on a digital tourism platform. The results obtained demonstrate the efficiency of the solution, which presents a high accuracy in the classification of publications in four different languages.IEEERepositório ComumJardim, SandraMora, CarlosSantana, Tiago2022-04-30T00:30:24Z2021-06-242021-10-08T14:40:28Z2021-06-24T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10400.26/37667eng10.23919/CISTI52073.2021.9476631info: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:RCAAP2025-05-05T09:53:47Zoai:comum.rcaap.pt:10400.26/37667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:58:38.304535Repositórios 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 Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
title A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
spellingShingle A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
Jardim, Sandra
sentiment analysis
automatic sentiment classification
lexicon-based approach
social media
title_short A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
title_full A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
title_fullStr A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
title_full_unstemmed A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
title_sort A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
author Jardim, Sandra
author_facet Jardim, Sandra
Mora, Carlos
Santana, Tiago
author_role author
author2 Mora, Carlos
Santana, Tiago
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Jardim, Sandra
Mora, Carlos
Santana, Tiago
dc.subject.por.fl_str_mv sentiment analysis
automatic sentiment classification
lexicon-based approach
social media
topic sentiment analysis
automatic sentiment classification
lexicon-based approach
social media
description Sentiment analysis, also known as opinion mining, has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications. In this paper, is described an unsupervised automatic method of multilingual lexicon-based sentiment analysis algorithm, with a dictionary- based approach. The developed algorithm was tested in the sentiment analysis of users' publications on a digital tourism platform. The results obtained demonstrate the efficiency of the solution, which presents a high accuracy in the classification of publications in four different languages.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-24
2021-10-08T14:40:28Z
2021-06-24T00:00:00Z
2022-04-30T00:30:24Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/37667
url http://hdl.handle.net/10400.26/37667
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.23919/CISTI52073.2021.9476631
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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
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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
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