ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter

Detalhes bibliográficos
Autor(a) principal: Dovdon, Enkhzol
Data de Publicação: 2017
Outros Autores: Saias, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/21321
Resumo: This paper describes the system we have used for participating in Subtasks A (Message Polarity Classification) and B (Topic Based Message Polarity Classification according to a two-point scale) of SemEval2017 Task 4 Sentiment Analysis in Twitter. We used several features with a sentiment lexicon and NLP techniques, Maximum Entropy as a classifier for our system.
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spelling ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in TwitterNLPClassificationOpinion MiningSentiment AnalysisThis paper describes the system we have used for participating in Subtasks A (Message Polarity Classification) and B (Topic Based Message Polarity Classification according to a two-point scale) of SemEval2017 Task 4 Sentiment Analysis in Twitter. We used several features with a sentiment lexicon and NLP techniques, Maximum Entropy as a classifier for our system.gLINK project of ”Erasmus Mundus Programme, Action 2 - STRAND 1, Lot 5, Asia (East)”ACL2017-09-11T11:33:01Z2017-09-112017-08-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/21321http://hdl.handle.net/10174/21321engE. Dovdon and J. Saias (2017). “ej-sa-2017 at semeval-2017 task 4: Experiments for target oriented sentiment analysis in twitter,” in Proceedings of the 11th International Workshop o n Semantic Evaluation (SemEval-2017), (Vancouver, Canada), pp. 635–638, Association for Computational Linguisticshttp://www.aclweb.org/anthology/S/S17/S17-2106.pdfndjsaias@uevora.pt283Dovdon, EnkhzolSaias, Joséinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:11:48Zoai:dspace.uevora.pt:10174/21321Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:12:36.503500Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
title ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
spellingShingle ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
Dovdon, Enkhzol
NLP
Classification
Opinion Mining
Sentiment Analysis
title_short ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
title_full ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
title_fullStr ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
title_full_unstemmed ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
title_sort ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
author Dovdon, Enkhzol
author_facet Dovdon, Enkhzol
Saias, José
author_role author
author2 Saias, José
author2_role author
dc.contributor.author.fl_str_mv Dovdon, Enkhzol
Saias, José
dc.subject.por.fl_str_mv NLP
Classification
Opinion Mining
Sentiment Analysis
topic NLP
Classification
Opinion Mining
Sentiment Analysis
description This paper describes the system we have used for participating in Subtasks A (Message Polarity Classification) and B (Topic Based Message Polarity Classification according to a two-point scale) of SemEval2017 Task 4 Sentiment Analysis in Twitter. We used several features with a sentiment lexicon and NLP techniques, Maximum Entropy as a classifier for our system.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-11T11:33:01Z
2017-09-11
2017-08-03T00:00:00Z
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/10174/21321
http://hdl.handle.net/10174/21321
url http://hdl.handle.net/10174/21321
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv E. Dovdon and J. Saias (2017). “ej-sa-2017 at semeval-2017 task 4: Experiments for target oriented sentiment analysis in twitter,” in Proceedings of the 11th International Workshop o n Semantic Evaluation (SemEval-2017), (Vancouver, Canada), pp. 635–638, Association for Computational Linguistics
http://www.aclweb.org/anthology/S/S17/S17-2106.pdf
nd
jsaias@uevora.pt
283
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ACL
publisher.none.fl_str_mv ACL
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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