EMOCause: an easy-adaptable approach to emotion cause contexts
| Contribuinte(s) |
Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
|---|---|
| Data(s) |
17/05/2012
17/05/2012
2011
|
| Resumo |
In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and an incremental repository of common sense knowledge on emotional states and emotion eliciting situations. Our approach has been evaluated with respect to manually annotated data. The results obtained so far are satisfying and support the validity of the methodology proposed. This work has been partially founded by the projects TEXTMESS 2.0 (TIN2009-13391-C04-01), Prometeo (PROMETEO/2009/199), the Generalitat valenciana (ACOMP/2011/001) and the EU FP7 project METANET (grant agreement n° 249119). |
| Identificador |
RUSSO, Irene, et al. "EMOCause: an easy-adaptable approach to emotion cause contexts". En: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, ACL-HLT 2011 : 24 June, 2011, Portland, Oregon, USA. Stroudsburg, PA : ACL, 2011. ISBN 978-1-937284-06-0, pp. 153-160 978-1-937284-06-0 |
| Idioma(s) |
eng |
| Publicador |
Association for Computational Linguistics (ACL) |
| Direitos |
info:eu-repo/semantics/openAccess |
| Palavras-Chave | #Automatically identify #Linguistic contexts #Emotion cause #Lenguajes y Sistemas Informáticos |
| Tipo |
info:eu-repo/semantics/conferenceObject |
