Gabriela Vulcu, Paul Buitelaar, Sapna Negi, Bianca Pereira, Mihael Arcan, Barry Coughlan et al (2014). Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources. In th International Workshop on Emotion, Social Signals, Sentiment & Linked Open Data, co-located with LREC 2014,, pages 6-9. Reykjavik, Iceland.
We present a methodology for legacy language resource adaptation that generates domain-specific
sentiment lexicons organized around domain entities described with lexical information and
sentiment words described in the context of these entities. We explain the steps of the methodology
and we give a working example of our initial results. The resulting lexicons are modelled as Linked
Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked
sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in
the Linguistic Linked Open Data cloud.