EmotiBlog: a fine-grained model for emotion detection in non-traditional textual genres


Autoria(s): Boldrini, Ester; Balahur Dobrescu, Alexandra; Martínez-Barco, Patricio; Montoyo, Andres
Contribuinte(s)

Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos

Procesamiento del Lenguaje y Sistemas de Información (GPLSI)

Data(s)

18/05/2012

18/05/2012

2009

Resumo

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.

Identificador

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

http://hdl.handle.net/10045/22536

Idioma(s)

eng

Publicador

WOMSA

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #New-textual genres #Annotation scheme #Emotion detection #Lenguajes y Sistemas Informáticos
Tipo

info:eu-repo/semantics/conferenceObject