EmotiBlog: a fine-grained model for emotion detection in non-traditional textual genres
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/22536
Título: | EmotiBlog: a fine-grained model for emotion detection in non-traditional textual genres |
---|---|
Autor/es: | Boldrini, Ester | Balahur Dobrescu, Alexandra | Martínez-Barco, Patricio | Montoyo, Andres |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | New-textual genres | Annotation scheme | Emotion detection |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2009 |
Editor: | WOMSA |
Cita bibliográfica: | BOLDRINI, Ester, et al. "EmotiBlog: a fine-grained model for emotion detection in non-traditional textual genres". En: Proceedings of the 1st Workshop on Opinion Mining and Sentiment Analysis, WOMSA09 : Seville, Spain, November 13, 2009, pp. 22-31 |
Resumen: | This paper presents the first version of EmotiBlog, an annotation scheme for emotions in non-traditional textual genres such as blogs or forums. We collected a corpus composed by blog posts in three languages: English, Spanish and Italian and about three topics of interest. Subsequently, we annotated our collection and carried out the inter-annotator agreement and a ten-fold cross-validation evaluation, obtaining promising results. The main aim of this research is to provide a finer-grained annotation scheme and annotated data that are essential to perform evaluation focused on checking the quality of the created resources. |
URI: | http://hdl.handle.net/10045/22536 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Revisión científica: | si |
Aparece en las colecciones: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2009_Boldrini_WOMSA.pdf | 122,38 kB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.