Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach

Autores
Dip, Juan Antonio; Silenzi, María Inés
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Text mining has led to sentiment analysis (SA) growth across various research disciplines. The pandemic has provided a unique and special context for analysing students’ written expression. We utilised comments from a survey conducted during the pandemic to create a corpus for sentiment analysis. The corpus comprises 25,197 words extracted from over 600 comments in Spanish, collected during a survey that lasted around 20 days. We aim to detect sentiments and emotions from this corpus using sentiment analysis. However, some essential and little-discussed issues in literature should be addressed, such as its relationship with post-cognitivist theory. This paper uses the post-cognitivist approach to analyse emotions and sentiments through sentiment analysis with Spanish lexicon in the economics of education.Literature in this area needs further development, especially in Spanish. The article shows that the emotions and sentiments of students in challenging situations can be identified through a corpus of student comments. However, specific elements should be considered while interpreting emotions and sentiments within the framework of post- cognitivism methodologies. Recognising that the human experience is a complex interaction, it is essential to consider the emotional nuances within the context in which they develop. Addressing this issue from the post-cognitivist approach is one of several ways to carry out this task. Using sentiment analysis and emotions to analyse a text corpus is still helpful for researchers who follow the post-cognitivist approach. However, combining this technique with other qualitative and in-depth computational methods is essential to fully understand the emotional experiences within their respective contexts.
Fil: Dip, Juan Antonio. Universidad Nacional de Misiones; Argentina
Fil: Silenzi, María Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Materia
SENTIMENT ANALYSIS
POSTCOGNITIVIST
LEXICON
EMOTION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/266459

id CONICETDig_10041adda5a43ecea0ab40b27f99c746
oai_identifier_str oai:ri.conicet.gov.ar:11336/266459
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approachDip, Juan AntonioSilenzi, María InésSENTIMENT ANALYSISPOSTCOGNITIVISTLEXICONEMOTIONhttps://purl.org/becyt/ford/6.3https://purl.org/becyt/ford/6Text mining has led to sentiment analysis (SA) growth across various research disciplines. The pandemic has provided a unique and special context for analysing students’ written expression. We utilised comments from a survey conducted during the pandemic to create a corpus for sentiment analysis. The corpus comprises 25,197 words extracted from over 600 comments in Spanish, collected during a survey that lasted around 20 days. We aim to detect sentiments and emotions from this corpus using sentiment analysis. However, some essential and little-discussed issues in literature should be addressed, such as its relationship with post-cognitivist theory. This paper uses the post-cognitivist approach to analyse emotions and sentiments through sentiment analysis with Spanish lexicon in the economics of education.Literature in this area needs further development, especially in Spanish. The article shows that the emotions and sentiments of students in challenging situations can be identified through a corpus of student comments. However, specific elements should be considered while interpreting emotions and sentiments within the framework of post- cognitivism methodologies. Recognising that the human experience is a complex interaction, it is essential to consider the emotional nuances within the context in which they develop. Addressing this issue from the post-cognitivist approach is one of several ways to carry out this task. Using sentiment analysis and emotions to analyse a text corpus is still helpful for researchers who follow the post-cognitivist approach. However, combining this technique with other qualitative and in-depth computational methods is essential to fully understand the emotional experiences within their respective contexts.Fil: Dip, Juan Antonio. Universidad Nacional de Misiones; ArgentinaFil: Silenzi, María Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaUniversidad Rusa de la Amistad de los Pueblos2024-06-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/266459Dip, Juan Antonio; Silenzi, María Inés; Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach; Universidad Rusa de la Amistad de los Pueblos; Training, Language and Culture; 8; 2; 17-6-2024; 52-652520-20732521-442XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.22363/2521-442X-2024-8-2-52-65info:eu-repo/semantics/altIdentifier/url/https://rudn.tlcjournal.org/issues/8(2)-05.htmlinfo:eu-repo/semantics/altIdentifier/url/https://rudn.tlcjournal.org/archive.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:45Zoai:ri.conicet.gov.ar:11336/266459instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:35:45.852CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
title Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
spellingShingle Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
Dip, Juan Antonio
SENTIMENT ANALYSIS
POSTCOGNITIVIST
LEXICON
EMOTION
title_short Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
title_full Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
title_fullStr Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
title_full_unstemmed Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
title_sort Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach
dc.creator.none.fl_str_mv Dip, Juan Antonio
Silenzi, María Inés
author Dip, Juan Antonio
author_facet Dip, Juan Antonio
Silenzi, María Inés
author_role author
author2 Silenzi, María Inés
author2_role author
dc.subject.none.fl_str_mv SENTIMENT ANALYSIS
POSTCOGNITIVIST
LEXICON
EMOTION
topic SENTIMENT ANALYSIS
POSTCOGNITIVIST
LEXICON
EMOTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/6.3
https://purl.org/becyt/ford/6
dc.description.none.fl_txt_mv Text mining has led to sentiment analysis (SA) growth across various research disciplines. The pandemic has provided a unique and special context for analysing students’ written expression. We utilised comments from a survey conducted during the pandemic to create a corpus for sentiment analysis. The corpus comprises 25,197 words extracted from over 600 comments in Spanish, collected during a survey that lasted around 20 days. We aim to detect sentiments and emotions from this corpus using sentiment analysis. However, some essential and little-discussed issues in literature should be addressed, such as its relationship with post-cognitivist theory. This paper uses the post-cognitivist approach to analyse emotions and sentiments through sentiment analysis with Spanish lexicon in the economics of education.Literature in this area needs further development, especially in Spanish. The article shows that the emotions and sentiments of students in challenging situations can be identified through a corpus of student comments. However, specific elements should be considered while interpreting emotions and sentiments within the framework of post- cognitivism methodologies. Recognising that the human experience is a complex interaction, it is essential to consider the emotional nuances within the context in which they develop. Addressing this issue from the post-cognitivist approach is one of several ways to carry out this task. Using sentiment analysis and emotions to analyse a text corpus is still helpful for researchers who follow the post-cognitivist approach. However, combining this technique with other qualitative and in-depth computational methods is essential to fully understand the emotional experiences within their respective contexts.
Fil: Dip, Juan Antonio. Universidad Nacional de Misiones; Argentina
Fil: Silenzi, María Inés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
description Text mining has led to sentiment analysis (SA) growth across various research disciplines. The pandemic has provided a unique and special context for analysing students’ written expression. We utilised comments from a survey conducted during the pandemic to create a corpus for sentiment analysis. The corpus comprises 25,197 words extracted from over 600 comments in Spanish, collected during a survey that lasted around 20 days. We aim to detect sentiments and emotions from this corpus using sentiment analysis. However, some essential and little-discussed issues in literature should be addressed, such as its relationship with post-cognitivist theory. This paper uses the post-cognitivist approach to analyse emotions and sentiments through sentiment analysis with Spanish lexicon in the economics of education.Literature in this area needs further development, especially in Spanish. The article shows that the emotions and sentiments of students in challenging situations can be identified through a corpus of student comments. However, specific elements should be considered while interpreting emotions and sentiments within the framework of post- cognitivism methodologies. Recognising that the human experience is a complex interaction, it is essential to consider the emotional nuances within the context in which they develop. Addressing this issue from the post-cognitivist approach is one of several ways to carry out this task. Using sentiment analysis and emotions to analyse a text corpus is still helpful for researchers who follow the post-cognitivist approach. However, combining this technique with other qualitative and in-depth computational methods is essential to fully understand the emotional experiences within their respective contexts.
publishDate 2024
dc.date.none.fl_str_mv 2024-06-17
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/266459
Dip, Juan Antonio; Silenzi, María Inés; Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach; Universidad Rusa de la Amistad de los Pueblos; Training, Language and Culture; 8; 2; 17-6-2024; 52-65
2520-2073
2521-442X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/266459
identifier_str_mv Dip, Juan Antonio; Silenzi, María Inés; Empirical application of sentiment analysis and emotions in Spanish: A post-cognitivist approach; Universidad Rusa de la Amistad de los Pueblos; Training, Language and Culture; 8; 2; 17-6-2024; 52-65
2520-2073
2521-442X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.22363/2521-442X-2024-8-2-52-65
info:eu-repo/semantics/altIdentifier/url/https://rudn.tlcjournal.org/issues/8(2)-05.html
info:eu-repo/semantics/altIdentifier/url/https://rudn.tlcjournal.org/archive.html
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Rusa de la Amistad de los Pueblos
publisher.none.fl_str_mv Universidad Rusa de la Amistad de los Pueblos
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613116377169920
score 13.070432