Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources
Vulcu, Gabriela Buitelaar, Paul Negi, Sapna Pereira, Bianca Arcan, Mihael Coughlan, Barry Sanchez, J. Fernando Iglesias, Carlos A.
Vulcu, Gabriela
Buitelaar, Paul
Negi, Sapna
Pereira, Bianca
Arcan, Mihael
Coughlan, Barry
Sanchez, J. Fernando
Iglesias, Carlos A.
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Publication Date
2014
Type
Conference Paper
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Citation
Vulcu, Gabriela, Buitelaar, Paul, Negi, Sapna, Pereira, Bianca, Arcan, Mihael, Coughlan, Barry, Fernando, Sanchez, J. , Iglesias, Carlos A. (2014). Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources. Paper presented at the 9th Edition of Language Resources and Evaluation Conference (LREC2014), Reykjavik, Iceland, 26-31 May.
Abstract
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 analysis
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Publisher
European Language Resources Association
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Attribution-NonCommercial-NoDerivs 3.0 Ireland