Linked Data Models for Sentiment and Emotion Analysis in Social Networks
C.A. Iglesiasa; J.F. Sánchez-Radaa; G. Vulcub; P. Buitelaarb a Technical University of Madrid, Madrid, Spainb National University of Ireland, Galway, Ireland
Abstract
Language resource interoperability is still a major challenge in sentiment analysis. One of the current trends for solving this issue is the adoption of a linked data perspective for semantically modeling, interlinking, and publishing lexical and other linguistic resources. This chapter contributes to the development of the linguistic linked open data through a linked data model for sentiment and emotion analysis in social networks that is based on two vocabularies: Marl and Onyx for sentiment ...
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