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Linguistic linked data for sentiment analysis

Buitelaar, Paul
Arcan, Mihael
Iglesias, Carlos A.
Sánchez-Rada, Juan Fernando
Strapparava, Carlo
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Publication Date
2013-09-23
Type
Conference Paper
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Buitelaar, Paul, Arcan, Mihael, Iglesias, Carlos A., Sánchez-Rada, Juan Fernando, & Strapparava, Carlo. (2013). Linguistic linked data for sentiment analysis. Paper presented at the 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data, Pisa, Italy, 23 September.
Abstract
In this paper we describe the specification of a model for the semantically interoperable representation 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).
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Association for Computational Linguistics
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Attribution-NonCommercial-NoDerivs 3.0 Ireland