Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish

Up to now, negation is a challenging problem in the context of Sentiment Analysis. The study of negation implies the correct identification of negation markers, the scope and the interpretation of how negation affects the words that are within it, that is, whether it modifies their meaning or not an...

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Detalles Bibliográficos
Autores: Jiménez Zafra, Salud María, Martín Valdivia, María Teresa, Molina González, M. Dolores, Ureña López, L. Alfonso
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/7471
Acceso en línea:https://doi.org/10.1016/j.ipm.2017.11.007
https://www.sciencedirect.com/science/article/pii/S0306457317306258
https://hdl.handle.net/10953/7471
Access Level:acceso abierto
Palabra clave:Spanish sentiment analysis
Negation treatment
Scope of negation
SFU corpus
Polarity classification
Supervised learning
004
004.6
004.8
004.91
81
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oai_identifier_str oai:ruja.ujaen.es:10953/7471
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network_name_str España
repository_id_str
spelling Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in SpanishJiménez Zafra, Salud MaríaMartín Valdivia, María TeresaMolina González, M. DoloresUreña López, L. AlfonsoSpanish sentiment analysisNegation treatmentScope of negationSFU corpusPolarity classificationSupervised learning004004.6004.8004.9181Up to now, negation is a challenging problem in the context of Sentiment Analysis. The study of negation implies the correct identification of negation markers, the scope and the interpretation of how negation affects the words that are within it, that is, whether it modifies their meaning or not and if so, whether it reverses, reduces or increments their polarity value. In addition, if we are interested in managing reviews in languages other than English, the issue becomes even more problematic due to the lack of resources. The present work shows the validity of the SFU ReviewSP-NEG corpus, which we annotated at negation level, for training supervised polarity classification systems in Spanish. The assessment has involved the comparison of different supervised models. The results achieved show the validity of the corpus and allow us to state that the annotation of how negation affects the words that are within its scope is important. Therefore, we propose to add a new phase to tackle negation in polarity classification systems (phase iii): i) identification of negation cues, ii) determination of the scope of negation, iii) identification of how negation affects the words that are within its scope, and iv) polarity classification taking into account negation.Elsevier202620262018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.ipm.2017.11.007https://www.sciencedirect.com/science/article/pii/S0306457317306258https://hdl.handle.net/10953/7471reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésInformation Processing & ManagementAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/74712026-06-24T12:41:07Z
dc.title.none.fl_str_mv Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
title Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
spellingShingle Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
Jiménez Zafra, Salud María
Spanish sentiment analysis
Negation treatment
Scope of negation
SFU corpus
Polarity classification
Supervised learning
004
004.6
004.8
004.91
81
title_short Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
title_full Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
title_fullStr Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
title_full_unstemmed Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
title_sort Relevance of the SFU ReviewSP-NEG corpus annotated with the scope of negation for supervised polarity classification in Spanish
dc.creator.none.fl_str_mv Jiménez Zafra, Salud María
Martín Valdivia, María Teresa
Molina González, M. Dolores
Ureña López, L. Alfonso
author Jiménez Zafra, Salud María
author_facet Jiménez Zafra, Salud María
Martín Valdivia, María Teresa
Molina González, M. Dolores
Ureña López, L. Alfonso
author_role author
author2 Martín Valdivia, María Teresa
Molina González, M. Dolores
Ureña López, L. Alfonso
author2_role author
author
author
dc.subject.none.fl_str_mv Spanish sentiment analysis
Negation treatment
Scope of negation
SFU corpus
Polarity classification
Supervised learning
004
004.6
004.8
004.91
81
topic Spanish sentiment analysis
Negation treatment
Scope of negation
SFU corpus
Polarity classification
Supervised learning
004
004.6
004.8
004.91
81
description Up to now, negation is a challenging problem in the context of Sentiment Analysis. The study of negation implies the correct identification of negation markers, the scope and the interpretation of how negation affects the words that are within it, that is, whether it modifies their meaning or not and if so, whether it reverses, reduces or increments their polarity value. In addition, if we are interested in managing reviews in languages other than English, the issue becomes even more problematic due to the lack of resources. The present work shows the validity of the SFU ReviewSP-NEG corpus, which we annotated at negation level, for training supervised polarity classification systems in Spanish. The assessment has involved the comparison of different supervised models. The results achieved show the validity of the corpus and allow us to state that the annotation of how negation affects the words that are within its scope is important. Therefore, we propose to add a new phase to tackle negation in polarity classification systems (phase iii): i) identification of negation cues, ii) determination of the scope of negation, iii) identification of how negation affects the words that are within its scope, and iv) polarity classification taking into account negation.
publishDate 2018
dc.date.none.fl_str_mv 2018
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ipm.2017.11.007
https://www.sciencedirect.com/science/article/pii/S0306457317306258
https://hdl.handle.net/10953/7471
url https://doi.org/10.1016/j.ipm.2017.11.007
https://www.sciencedirect.com/science/article/pii/S0306457317306258
https://hdl.handle.net/10953/7471
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Information Processing & Management
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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