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Spanish corpus for sentiment analysis towards brands
Cita
Navas Loro, María 
ORCID: https://orcid.org/0000-0003-1011-5023, Rodríguez Doncel, Víctor ORCID: https://orcid.org/0000-0003-1076-2511, Santana Pérez, Idafen ORCID: https://orcid.org/0000-0001-8296-8629 and Sánchez, Alberto
(2017).
Spanish corpus for sentiment analysis towards brands.
En: "19th International Conference on Speech and Computer (SPECOM 2017)", 12-16 sep 2017, Reino Unido September. ISBN 9783319664286. pp. 680-689.
https://doi.org/10.1007/978-3-319-66429-3_68.
ORCID: https://orcid.org/0000-0003-1011-5023, Rodríguez Doncel, Víctor ORCID: https://orcid.org/0000-0003-1076-2511, Santana Pérez, Idafen ORCID: https://orcid.org/0000-0001-8296-8629 and Sánchez, Alberto
(2017).
Spanish corpus for sentiment analysis towards brands.
En: "19th International Conference on Speech and Computer (SPECOM 2017)", 12-16 sep 2017, Reino Unido September. ISBN 9783319664286. pp. 680-689.
https://doi.org/10.1007/978-3-319-66429-3_68.
Descripción
| Título: | Spanish corpus for sentiment analysis towards brands |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 19th International Conference on Speech and Computer (SPECOM 2017) |
| Fechas del Evento: | 12-16 sep 2017 |
| Lugar del Evento: | Reino Unido September |
| Título del Libro: | Speech and Computer: 19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, proceedings |
| Fecha: | 15 Agosto 2017 |
| ISBN: | 9783319664286 |
| ISSN: | 03029743 |
| Volumen: | 10458 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Coefficien, Corpus, Emotions, NLP, Ontology, Opinion mining, Sentiment analysis |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Posts published in the social media are a good source of feedback to assess the impact of advertising campaigns. Whereas most of the published corpora of messages in the Sentiment Analysis domain tag posts with polarity labels, this paper presents a corpus in Spanish language where tagging has been made using 8 predefined emotions: love-hate, happiness-sadness, trust-fear, satisfaction-dissatisfaction. In every post, extracted from Twitter, sentiments have been annotated towards each specific brand under study. The corpus is published as a collection of RDF resources with links to external entities. Also a vocabulary describing this emotion classification along with other relevant aspects of customer's opinion is provided.
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
IDI-20141259
LPS-BIGGER
Sin especificar
Sin especificar
Comunidad de Madrid
PEJ16/TIC/AI-1984
Sin especificar
Sin especificar
Sin especificar
Más información
| ID de Registro: | 93615 |
|---|---|
| Identificador DC: | https://oa.upm.es/93615/ |
| Identificador OAI: | oai:oa.upm.es:93615 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10266398 |
| Identificador DOI: | 10.1007/978-3-319-66429-3_68 |
| URL Oficial: | https://www.scopus.com/inward/record.uri?eid=2-s2.... |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 04 Feb 2026 13:39 |
| Ultima Modificación: | 04 Feb 2026 19:02 |
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