EUROSENTIMENT: Linked Data Sentiment Analysis

Sánchez Rada, Juan Fernando and Vulcu, Gabriela and Iglesias Fernandez, Carlos Angel and Buitelaar, Paul (2014). EUROSENTIMENT: Linked Data Sentiment Analysis. In: "13th International Semantic Web Conference (ISWC 2014)", 21/10/2014, Riva del Garda, Italy. pp. 145-148.


Title: EUROSENTIMENT: Linked Data Sentiment Analysis
  • Sánchez Rada, Juan Fernando
  • Vulcu, Gabriela
  • Iglesias Fernandez, Carlos Angel
  • Buitelaar, Paul
Item Type: Presentation at Congress or Conference (Article)
Event Title: 13th International Semantic Web Conference (ISWC 2014)
Event Dates: 21/10/2014
Event Location: Riva del Garda, Italy
Title of Book: Proceedings of the ISWC 2014 Posters & Demonstrations Track
Date: 2014
Volume: 1272
Freetext Keywords: Language Resources, Sentiment Analysis, Emotion Analysis, Linked Data, Ontologies
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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 appli- cation 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 avail- able 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 sam- ple applications that can be developed on top of the EUROSENTIMENT LRP.

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Item ID: 36957
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Deposited by: Memoria Investigacion
Deposited on: 26 Jul 2015 11:17
Last Modified: 26 Jul 2015 11:17
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