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.
Keywords: domain specific lexicon, entity extraction and linking, sentiment analysisThis work has been funded by the European project EUROSENTIMENT under grant no. 296277