Publicación - Linguistic Linked Data for Sentiment Analysis

Linguistic Linked Data for Sentiment Analysis

Paul Buitelaar, Mihael Arcan, Carlos A. Iglesias, J. Fernando Sánchez-Rada & Carlo Strapparava (2013). Linguistic Linked Data for Sentiment Analysis. In Christian Chiarcos, Philipp Cimiano, Thierry Declerck & John P. McCrae (editors), 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data. Collocated with the Conference on Generative Approaches to the Lexicon, pages 1-8. Pisa, Italy : Association for Computational Linguistics.

Abstract:

In this paper we describe the specification of a model for the semantically interoperable represen- tation of language resources for sentiment analysis. The model integrates ‘lemon’, an RDF-based model for the specification of ontology-lexica (Buitelaar et al. 2009), which is used increasingly for the representation of language resources as Linked Data, with 'Marl', an RDF-based model for the representation of sentiment annotations (Westerski et al., 2011; Sánchez-Rada et al., 2013).