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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/266459
Ver los metadatos del registro completo
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |