EUROSENTIMENT: Linked Data Sentiment Analysis

J. Fernando Sánchez-Rada, Gabriela Vulcu, Carlos A. Iglesias & Paul Buitelaar (2014). EUROSENTIMENT: Linked Data Sentiment Analysis. In Matthew Horridge, Marco Rospocher & van Ossenbruggen, J. (editors), Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference (ISWC 2014), pages 145-148. Riva del Garda, Trentino.

Sentiment and Emotion Analysis strongly depend on quality language resources, especially sentiment dictionaries. These resources are usually scattered, heterogeneous and limited to specific domains of application by simple algorithms. The EUROSENTIMENT project addresses these issues by 1) developing a common language resource representation model for sentiment analysis, and APIs for sentiment analysis services based on established Linked Data formats (lemon, Marl, NIF and ONYX) 2) by creating a Language Resource Pool (a.k.a. LRP) that makes available to the community existing scattered language resources and services for sentiment analysis in an interoperable way. In this paper we describe the available language resources and services in the LRP and some sample applications that can be developed on top of the EUROSENTIMENT LRP.